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 |
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