CRAN Package Check Results for Package BayesRGMM

Last updated on 2022-04-22 06:52:31 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.1 149.73 122.45 272.18 ERROR
r-devel-linux-x86_64-debian-gcc 2.1 113.92 91.77 205.69 ERROR
r-devel-linux-x86_64-fedora-clang 2.1 393.86 ERROR
r-devel-linux-x86_64-fedora-gcc 2.1 323.63 ERROR
r-devel-windows-x86_64-new-UL 2.1 118.00 158.00 276.00 ERROR
r-devel-macos-arm64 2.1 NOTE
r-devel-macos-x86_64 2.1 ERROR
r-patched-linux-x86_64 2.1 121.87 120.33 242.20 ERROR
r-release-linux-x86_64 2.1 129.40 109.26 238.66 ERROR
r-release-macos-arm64 2.1 NOTE
r-release-macos-x86_64 2.1 NOTE
r-release-windows-ix86+x86_64 2.1 312.00 191.00 503.00 ERROR
r-oldrel-macos-x86_64 2.1 NOTE
r-oldrel-windows-ix86+x86_64 2.1 312.00 191.00 503.00 ERROR

Additional issues

clang14

Check Details

Version: 2.1
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     CPREMs.cpp:540:20: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical]
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-fedora-clang

Version: 2.1
Check: tests
Result: ERROR
     Running 'testthat.R' [17s/22s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.8 0.78
     x2 -0.5 0.06 -1.0 -0.04
     x3 1.0 0.03 0.7 1.20
     x4 -1.1 0.03 -1.3 -0.80
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.007 0.007 -0.08 0.06
     psi 1 0.094 0.011 -0.01 0.25
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -198 608 884 0.001 532 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.5 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.2 0.04 -0.5 0.02
     IndTime2 -0.1 0.06 -0.5 0.22
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -126 463 739 0.6 353 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.1 0.0 0.0
     [2,] 0.2 1.0 0.2 0.1 0.0
     [3,] 0.1 0.2 1.0 0.2 0.1
     [4,] 0.0 0.1 0.2 1.0 0.2
     [5,] 0.0 0.0 0.1 0.2 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     == Skipped tests ===============================================================
     * empty test (2)
    
     == Failed tests ================================================================
     -- Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit --
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     x
     1. \-BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. \-BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 2.1
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
     ...
    --- re-building 'BayesRGMM.Rnw' using Sweave
    
    Error: processing vignette 'BayesRGMM.Rnw' failed with diagnostics:
     chunk 4 (label = Simulation: Ordinal outcome)
    Error in CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues, :
     inv(): matrix is singular
    
    --- failed re-building 'BayesRGMM.Rnw'
    
    SUMMARY: processing the following file failed:
     'BayesRGMM.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64

Version: 2.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [13s/20s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.8 0.78
     x2 -0.5 0.06 -1.0 -0.04
     x3 1.0 0.03 0.7 1.20
     x4 -1.1 0.03 -1.3 -0.80
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.007 0.007 -0.08 0.06
     psi 1 0.094 0.011 -0.01 0.25
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -198 608 884 0.001 532 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.5 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.2 0.04 -0.5 0.02
     IndTime2 -0.1 0.06 -0.5 0.22
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -126 463 739 0.6 353 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.1 0.0 0.0
     [2,] 0.2 1.0 0.2 0.1 0.0
     [3,] 0.1 0.2 1.0 0.2 0.1
     [4,] 0.0 0.1 0.2 1.0 0.2
     [5,] 0.0 0.0 0.1 0.2 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.1
Check: installed package size
Result: NOTE
     installed size is 7.0Mb
     sub-directories of 1Mb or more:
     libs 6.4Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-macos-arm64, r-devel-macos-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 2.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [21s/55s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.1 0.09 -0.7 0.80
     x2 -0.5 0.06 -1.0 -0.03
     x3 1.0 0.03 0.7 1.20
     x4 -1.1 0.03 -1.3 -0.80
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.004 0.008 -0.10 0.04
     psi 1 0.063 0.012 -0.08 0.17
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -196 605 881 8e-04 534 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.5 0.1
     x2 -0.6 0.05 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.5 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.3 0.05 -0.6 -0.01
     IndTime2 -0.1 0.05 -0.4 0.24
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -131 473 749 0.7 370 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.1 0.0 0.0
     [2,] 0.2 1.0 0.2 0.1 0.0
     [3,] 0.1 0.2 1.0 0.2 0.1
     [4,] 0.0 0.1 0.2 1.0 0.2
     [5,] 0.0 0.0 0.1 0.2 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.1
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
    --- re-building ‘BayesRGMM.Rnw’ using Sweave
    
    Error: processing vignette 'BayesRGMM.Rnw' failed with diagnostics:
     chunk 4 (label = Simulation: Ordinal outcome)
    Error in CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues, :
     inv(): matrix is singular
    
    --- failed re-building ‘BayesRGMM.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘BayesRGMM.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-new-UL

Version: 2.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [19s/23s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.8 0.78
     x2 -0.5 0.06 -1.0 -0.04
     x3 1.0 0.03 0.7 1.20
     x4 -1.1 0.03 -1.3 -0.80
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.007 0.007 -0.08 0.06
     psi 1 0.094 0.011 -0.01 0.25
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -198 608 884 0.001 532 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.5 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.2 0.04 -0.5 0.02
     IndTime2 -0.1 0.06 -0.5 0.22
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -126 463 739 0.6 353 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.1 0.0 0.0
     [2,] 0.2 1.0 0.2 0.1 0.0
     [3,] 0.1 0.2 1.0 0.2 0.1
     [4,] 0.0 0.1 0.2 1.0 0.2
     [5,] 0.0 0.0 0.1 0.2 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2.1
Check: tests
Result: ERROR
     Running 'testthat.R' [17s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.9 0.82
     x2 -0.5 0.06 -1.0 0.05
     x3 1.0 0.03 0.7 1.18
     x4 -1.1 0.03 -1.3 -0.81
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.004 0.008 -0.07 0.06
     psi 1 0.021 0.016 -0.08 0.14
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -196 604 880 9e-04 516 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.4 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.3 0.05 -0.6 -0.01
     IndTime2 -0.2 0.03 -0.4 0.08
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -133 479 755 0.8 383 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.2 0.0 0.0
     [2,] 0.2 1.0 0.3 0.2 0.0
     [3,] 0.2 0.3 1.0 0.3 0.1
     [4,] 0.0 0.2 0.3 1.0 0.3
     [5,] 0.0 0.0 0.1 0.3 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-x86_64-new-UL

Version: 2.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [9s/9s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-macos-x86_64

Version: 2.1
Check: running R code from vignettes
Result: ERROR
    Errors in running code in vignettes:
    when running code in ‘BayesRGMM.Rnw’
     ...
    + paste0("x", 1:P, collapse = "+"))), data = CPREM.sim.data$sim.data,
    + .... [TRUNCATED]
    Start reading Data
    End reading Data
    Read Hyperparameters.
    Start running MCMC procedure:
    
     When sourcing ‘BayesRGMM.R’:
    Error: inv(): matrix is singular
    Execution halted
    
     ‘BayesRGMM.Rnw’ using ‘UTF-8’... failed
Flavor: r-devel-macos-x86_64

Version: 2.1
Check: re-building of vignette outputs
Result: NOTE
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘BayesRGMM.Rnw’ using Sweave
    
    Error: processing vignette 'BayesRGMM.Rnw' failed with diagnostics:
     chunk 4 (label = Simulation: Ordinal outcome)
    Error in CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues, :
     inv(): matrix is singular
    
    --- failed re-building ‘BayesRGMM.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘BayesRGMM.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-macos-x86_64

Version: 2.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [16s/19s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.8 0.78
     x2 -0.5 0.06 -1.0 -0.04
     x3 1.0 0.03 0.7 1.20
     x4 -1.1 0.03 -1.3 -0.80
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.007 0.007 -0.08 0.06
     psi 1 0.094 0.011 -0.01 0.25
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -198 608 884 0.001 532 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.5 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.2 0.04 -0.5 0.02
     IndTime2 -0.1 0.06 -0.5 0.22
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -126 463 739 0.6 353 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.1 0.0 0.0
     [2,] 0.2 1.0 0.2 0.1 0.0
     [3,] 0.1 0.2 1.0 0.2 0.1
     [4,] 0.0 0.1 0.2 1.0 0.2
     [5,] 0.0 0.0 0.1 0.2 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 2.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [15s/18s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.8 0.78
     x2 -0.5 0.06 -1.0 -0.04
     x3 1.0 0.03 0.7 1.20
     x4 -1.1 0.03 -1.3 -0.80
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.007 0.007 -0.08 0.06
     psi 1 0.094 0.011 -0.01 0.25
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -198 608 884 0.001 532 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.5 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.2 0.04 -0.5 0.02
     IndTime2 -0.1 0.06 -0.5 0.22
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -126 463 739 0.6 353 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.1 0.0 0.0
     [2,] 0.2 1.0 0.2 0.1 0.0
     [3,] 0.1 0.2 1.0 0.2 0.1
     [4,] 0.0 0.1 0.2 1.0 0.2
     [5,] 0.0 0.0 0.1 0.2 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • empty test (2)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit ──
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     ▆
     1. └─BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. └─BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-release-linux-x86_64

Version: 2.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘BayesRGMM.Rnw’ using Sweave
    
    Error: processing vignette 'BayesRGMM.Rnw' failed with diagnostics:
     chunk 4 (label = Simulation: Ordinal outcome)
    Error in CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues, :
     inv(): matrix is singular
    
    --- failed re-building ‘BayesRGMM.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘BayesRGMM.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-release-linux-x86_64

Version: 2.1
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [22s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.9 0.82
     x2 -0.5 0.06 -1.0 0.05
     x3 1.0 0.03 0.7 1.18
     x4 -1.1 0.03 -1.3 -0.81
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.004 0.008 -0.07 0.06
     psi 1 0.021 0.016 -0.08 0.14
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -196 604 880 9e-04 516 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.4 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.3 0.05 -0.6 -0.01
     IndTime2 -0.2 0.03 -0.4 0.08
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -133 479 755 0.8 383 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.2 0.0 0.0
     [2,] 0.2 1.0 0.3 0.2 0.0
     [3,] 0.2 0.3 1.0 0.3 0.1
     [4,] 0.0 0.2 0.3 1.0 0.3
     [5,] 0.0 0.0 0.1 0.3 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     == Skipped tests ===============================================================
     * empty test (2)
    
     == Failed tests ================================================================
     -- Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit --
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     x
     1. \-BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. \-BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 2.1
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [17s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.9 0.82
     x2 -0.5 0.06 -1.0 0.05
     x3 1.0 0.03 0.7 1.18
     x4 -1.1 0.03 -1.3 -0.81
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.004 0.008 -0.07 0.06
     psi 1 0.021 0.016 -0.08 0.14
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -196 604 880 9e-04 516 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.4 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.3 0.05 -0.6 -0.01
     IndTime2 -0.2 0.03 -0.4 0.08
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -133 479 755 0.8 383 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.2 0.0 0.0
     [2,] 0.2 1.0 0.3 0.2 0.0
     [3,] 0.2 0.3 1.0 0.3 0.1
     [4,] 0.0 0.2 0.3 1.0 0.3
     [5,] 0.0 0.0 0.1 0.3 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     == Skipped tests ===============================================================
     * empty test (2)
    
     == Failed tests ================================================================
     -- Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit --
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     x
     1. \-BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. \-BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavors: r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 2.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building 'BayesRGMM.Rnw' using Sweave
    
    Error: processing vignette 'BayesRGMM.Rnw' failed with diagnostics:
     chunk 4 (label = Simulation: Ordinal outcome)
    Error in CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues, :
     inv(): matrix is singular
    
    --- failed re-building 'BayesRGMM.Rnw'
    
    SUMMARY: processing the following file failed:
     'BayesRGMM.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 2.1
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [23s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(BayesRGMM)
     >
     >
     > test_check("BayesRGMM")
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 815 Number of Covariates: 3
     Number of subjects: 100
    
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.09 -0.9 0.82
     x2 -0.5 0.06 -1.0 0.05
     x3 1.0 0.03 0.7 1.18
     x4 -1.1 0.03 -1.3 -0.81
    
     AMRA parameters:
    
     PostMean StErr 2.5% 97.5%
     phi 1 -0.004 0.008 -0.07 0.06
     psi 1 0.021 0.016 -0.08 0.14
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -196 604 880 9e-04 516 6 1 0.9
    
     1 2 3
     148 175 192
     0% 33.33333% 66.66667% 100%
     -9.7060423 -1.2010528 0.1110465 6.5569038
     Start reading Data
     End reading Data
     Read Hyperparameters.
     Start running MCMC procedure:
     Start running MCMC procedure:
    
     Finish MCMC Procedure.
    
     Data Descriptives:
     Longitudinal Data Information:
     Number of Observations: 354 Number of Covariates: 3
     Number of subjects: 100
    
    
     Coefficients:
     PostMean StErr 2.5% 97.5%
     x1 -0.2 0.04 -0.4 0.2
     x2 -0.6 0.06 -1.1 -0.1
     x3 0.7 0.04 0.4 0.9
     x4 -0.4 0.02 -0.6 -0.2
    
     Parameters in HSD model:
     PostMean StErr 2.5% 97.5%
     IndTime1 -0.3 0.05 -0.6 -0.01
     IndTime2 -0.2 0.03 -0.4 0.08
    
     Random effect:
     Variance
     (Intercept) 0.4
    
     Model Information:
     logL AIC BIC CIC DIC MPL RJR ACC
     -133 479 755 0.8 383 5 1 0.9
    
     Estimate of Ri:
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.0 0.2 0.2 0.0 0.0
     [2,] 0.2 1.0 0.3 0.2 0.0
     [3,] 0.2 0.3 1.0 0.3 0.1
     [4,] 0.0 0.2 0.3 1.0 0.3
     [5,] 0.0 0.0 0.1 0.3 1.0
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
    
     == Skipped tests ===============================================================
     * empty test (2)
    
     == Failed tests ================================================================
     -- Error (test_BayesRGMM_CPREM.R:54:1): A simulation study of CumulativeProbit --
     <std::runtime_error/C++Error/error/condition>
     Error in `CumulativeProbitMCMC(num.of.iter, Data, Robustness, InitialValues,
     HyperPara, UpdatePara, TuningPara, Interactive)`: inv(): matrix is singular
     Backtrace:
     x
     1. \-BayesRGMM::BayesCumulativeProbitHSD(...) at test_BayesRGMM_CPREM.R:54:0
     2. \-BayesRGMM:::CumulativeProbitMCMC(...)
    
     [ FAIL 1 | WARN 0 | SKIP 2 | PASS 0 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64