Last updated on 2021-06-07 07:51:14 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.1 | 8.21 | 69.11 | 77.32 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.1 | 6.89 | 51.93 | 58.82 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.1 | 101.65 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.1 | 88.91 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.1 | 15.00 | 70.00 | 85.00 | ERROR | |
| r-devel-windows-x86_64-gcc10-UCRT | 0.1.1 | ERROR | ||||
| r-patched-linux-x86_64 | 0.1.1 | 8.92 | 117.18 | 126.10 | NOTE | |
| r-patched-solaris-x86 | 0.1.1 | 459.20 | NOTE | |||
| r-release-linux-x86_64 | 0.1.1 | 7.39 | 117.59 | 124.98 | NOTE | |
| r-release-macos-arm64 | 0.1.1 | ERROR | ||||
| r-release-macos-x86_64 | 0.1.1 | NOTE | ||||
| r-release-windows-ix86+x86_64 | 0.1.1 | 14.00 | 133.00 | 147.00 | NOTE | |
| r-oldrel-macos-x86_64 | 0.1.1 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.1.1 | 27.00 | 192.00 | 219.00 | OK |
Version: 0.1.1
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-devel-windows-x86_64-gcc10-UCRT, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64, r-release-windows-ix86+x86_64
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in 'tuts-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: plot.tuts_ar1
> ### Title: Plots and visual diagnostics of tuts_ar1 objects
> ### Aliases: plot.tuts_ar1
>
> ### ** Examples
>
> # Note: Most of models included in tuts package are computationally intensive. In the example
> <ERROR: re-encoding failure from encoding 'UTF-8'>
# below I set parameters to meet CRAN...
> # A more practical example would contain N=50 in the first line of the code and n.sim=10000.
>
> #1. Import or simulate the data (a simulation is chosen for illustrative purposes):
> DATA=simtuts(N=10,Harmonics=c(4,0,0), sin.ampl=c(10,0, 0), cos.ampl=c(0,0,0),
+ trend=0,y.sd=2, ti.sd=0.2)
> y=DATA$observed$y.obs
> ti.mu=DATA$observed$ti.obs.tnorm
> ti.sd= rep(0.2, length(ti.mu))
>
> #2. Fit the model:
> n.sim=1000
> TUAR1=tuar1(y=y,ti.mu=ti.mu,ti.sd=ti.sd,n.sim=n.sim,CV=TRUE,n.cores=2)
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 9
Unobserved stochastic nodes: 13
Total graph size: 104
Initializing model
[1] Cross-validation of the model....
>
> #3. Generate plots and diagnostics of the model (optional parameters are listed in brackets):
> plot(TUAR1,type='predTUTS') # One step out of salmple predictions (CI, burn).
> plot(TUAR1,type='par', burn=0.4) # Distributions of parameters (burn).
> plot(TUAR1,type='mcmc') # MCMC diagnostics.
Preparing plots for const. 8% complete.
Preparing plots for alpha1. 15% complete.
Preparing plots for precision. 23% complete.
Preparing plots for ti.sim. 31% complete.
Preparing plots for ti.sim. 38% complete.
Preparing plots for ti.sim. 46% complete.
Preparing plots for ti.sim. 54% complete.
Preparing plots for ti.sim. 62% complete.
Preparing plots for ti.sim. 69% complete.
Preparing plots for ti.sim. 77% complete.
Preparing plots for ti.sim. 85% complete.
Preparing plots for ti.sim. 92% complete.
Preparing plots for ti.sim. 100% complete.
> plot(TUAR1,type='cv', burn=0.4, CI=0.9) # 5 fold cross validation (CI, burn).
Error in prettyNum(.Internal(format(x, trim, digits, nsmall, width, 3L, :
invalid value 0 for 'digits' argument
Calls: plot ... eval -> paste -> format -> format.default -> prettyNum
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in ‘tuts-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: plot.tuts_ar1
> ### Title: Plots and visual diagnostics of tuts_ar1 objects
> ### Aliases: plot.tuts_ar1
>
> ### ** Examples
>
> # Note: Most of models included in tuts package are computationally intensive. In the example
> # below I set parameters to meet CRAN’s testing requirement of maximum 5 sec per example.
> # A more practical example would contain N=50 in the first line of the code and n.sim=10000.
>
> #1. Import or simulate the data (a simulation is chosen for illustrative purposes):
> DATA=simtuts(N=10,Harmonics=c(4,0,0), sin.ampl=c(10,0, 0), cos.ampl=c(0,0,0),
+ trend=0,y.sd=2, ti.sd=0.2)
> y=DATA$observed$y.obs
> ti.mu=DATA$observed$ti.obs.tnorm
> ti.sd= rep(0.2, length(ti.mu))
>
> #2. Fit the model:
> n.sim=1000
> TUAR1=tuar1(y=y,ti.mu=ti.mu,ti.sd=ti.sd,n.sim=n.sim,CV=TRUE,n.cores=2)
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 9
Unobserved stochastic nodes: 13
Total graph size: 104
Initializing model
[1] Cross-validation of the model....
>
> #3. Generate plots and diagnostics of the model (optional parameters are listed in brackets):
> plot(TUAR1,type='predTUTS') # One step out of salmple predictions (CI, burn).
> plot(TUAR1,type='par', burn=0.4) # Distributions of parameters (burn).
> plot(TUAR1,type='mcmc') # MCMC diagnostics.
Preparing plots for const. 8% complete.
Preparing plots for alpha1. 15% complete.
Preparing plots for precision. 23% complete.
Preparing plots for ti.sim. 31% complete.
Preparing plots for ti.sim. 38% complete.
Preparing plots for ti.sim. 46% complete.
Preparing plots for ti.sim. 54% complete.
Preparing plots for ti.sim. 62% complete.
Preparing plots for ti.sim. 69% complete.
Preparing plots for ti.sim. 77% complete.
Preparing plots for ti.sim. 85% complete.
Preparing plots for ti.sim. 92% complete.
Preparing plots for ti.sim. 100% complete.
> plot(TUAR1,type='cv', burn=0.4, CI=0.9) # 5 fold cross validation (CI, burn).
Error in prettyNum(.Internal(format(x, trim, digits, nsmall, width, 3L, :
invalid value 0 for 'digits' argument
Calls: plot ... eval -> paste -> format -> format.default -> prettyNum
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in ‘tuts-Ex.R’ failed
The error most likely occurred in:
> ### Name: plot.tuts_ar1
> ### Title: Plots and visual diagnostics of tuts_ar1 objects
> ### Aliases: plot.tuts_ar1
>
> ### ** Examples
>
> # Note: Most of models included in tuts package are computationally intensive. In the example
> # below I set parameters to meet CRAN’s testing requirement of maximum 5 sec per example.
> # A more practical example would contain N=50 in the first line of the code and n.sim=10000.
>
> #1. Import or simulate the data (a simulation is chosen for illustrative purposes):
> DATA=simtuts(N=10,Harmonics=c(4,0,0), sin.ampl=c(10,0, 0), cos.ampl=c(0,0,0),
+ trend=0,y.sd=2, ti.sd=0.2)
> y=DATA$observed$y.obs
> ti.mu=DATA$observed$ti.obs.tnorm
> ti.sd= rep(0.2, length(ti.mu))
>
> #2. Fit the model:
> n.sim=1000
> TUAR1=tuar1(y=y,ti.mu=ti.mu,ti.sd=ti.sd,n.sim=n.sim,CV=TRUE,n.cores=2)
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 9
Unobserved stochastic nodes: 13
Total graph size: 104
Initializing model
[1] Cross-validation of the model....
>
> #3. Generate plots and diagnostics of the model (optional parameters are listed in brackets):
> plot(TUAR1,type='predTUTS') # One step out of salmple predictions (CI, burn).
> plot(TUAR1,type='par', burn=0.4) # Distributions of parameters (burn).
> plot(TUAR1,type='mcmc') # MCMC diagnostics.
Preparing plots for const. 8% complete.
Preparing plots for alpha1. 15% complete.
Preparing plots for precision. 23% complete.
Preparing plots for ti.sim. 31% complete.
Preparing plots for ti.sim. 38% complete.
Preparing plots for ti.sim. 46% complete.
Preparing plots for ti.sim. 54% complete.
Preparing plots for ti.sim. 62% complete.
Preparing plots for ti.sim. 69% complete.
Preparing plots for ti.sim. 77% complete.
Preparing plots for ti.sim. 85% complete.
Preparing plots for ti.sim. 92% complete.
Preparing plots for ti.sim. 100% complete.
> plot(TUAR1,type='cv', burn=0.4, CI=0.9) # 5 fold cross validation (CI, burn).
Error in prettyNum(.Internal(format(x, trim, digits, nsmall, width, 3L, :
invalid value 0 for 'digits' argument
Calls: plot ... eval -> paste -> format -> format.default -> prettyNum
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in 'tuts-Ex.R' failed
The error most likely occurred in:
> ### Name: plot.tuts_ar1
> ### Title: Plots and visual diagnostics of tuts_ar1 objects
> ### Aliases: plot.tuts_ar1
>
> ### ** Examples
>
> # Note: Most of models included in tuts package are computationally intensive. In the example
> # below I set parameters to meet CRAN<c2><92>s testing requirement of maximum 5 sec per example.
> # A more practical example would contain N=50 in the first line of the code and n.sim=10000.
>
> #1. Import or simulate the data (a simulation is chosen for illustrative purposes):
> DATA=simtuts(N=10,Harmonics=c(4,0,0), sin.ampl=c(10,0, 0), cos.ampl=c(0,0,0),
+ trend=0,y.sd=2, ti.sd=0.2)
> y=DATA$observed$y.obs
> ti.mu=DATA$observed$ti.obs.tnorm
> ti.sd= rep(0.2, length(ti.mu))
>
> #2. Fit the model:
> n.sim=1000
> TUAR1=tuar1(y=y,ti.mu=ti.mu,ti.sd=ti.sd,n.sim=n.sim,CV=TRUE,n.cores=2)
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 9
Unobserved stochastic nodes: 13
Total graph size: 104
Initializing model
[1] Cross-validation of the model....
>
> #3. Generate plots and diagnostics of the model (optional parameters are listed in brackets):
> plot(TUAR1,type='predTUTS') # One step out of salmple predictions (CI, burn).
> plot(TUAR1,type='par', burn=0.4) # Distributions of parameters (burn).
> plot(TUAR1,type='mcmc') # MCMC diagnostics.
Preparing plots for const. 8% complete.
Preparing plots for alpha1. 15% complete.
Preparing plots for precision. 23% complete.
Preparing plots for ti.sim. 31% complete.
Preparing plots for ti.sim. 38% complete.
Preparing plots for ti.sim. 46% complete.
Preparing plots for ti.sim. 54% complete.
Preparing plots for ti.sim. 62% complete.
Preparing plots for ti.sim. 69% complete.
Preparing plots for ti.sim. 77% complete.
Preparing plots for ti.sim. 85% complete.
Preparing plots for ti.sim. 92% complete.
Preparing plots for ti.sim. 100% complete.
> plot(TUAR1,type='cv', burn=0.4, CI=0.9) # 5 fold cross validation (CI, burn).
Error in prettyNum(.Internal(format(x, trim, digits, nsmall, width, 3L, :
invalid value 0 for 'digits' argument
Calls: plot ... eval -> paste -> format -> format.default -> prettyNum
Execution halted
Flavors: r-devel-windows-x86_64, r-devel-windows-x86_64-gcc10-UCRT
Version: 0.1.1
Check: package dependencies
Result: ERROR
Package required but not available: ‘rjags’
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavor: r-release-macos-arm64