CRAN Package Check Results for Package robustlmm

Last updated on 2023-10-03 01:05:02 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.2-2 74.01 391.01 465.02 OK
r-devel-linux-x86_64-debian-gcc 3.2-2 58.12 293.46 351.58 OK
r-devel-linux-x86_64-fedora-clang 3.2-2 603.50 OK
r-devel-linux-x86_64-fedora-gcc 3.2-2 598.57 OK
r-devel-windows-x86_64 3.2-2 61.00 344.00 405.00 NOTE
r-patched-linux-x86_64 3.2-2 85.06 370.74 455.80 OK
r-release-linux-x86_64 3.2-2 68.18 376.33 444.51 OK
r-release-macos-arm64 3.2-2 199.00 NOTE
r-release-macos-x86_64 3.2-2 332.00 NOTE
r-release-windows-x86_64 3.2-2 79.00 415.00 494.00 NOTE
r-oldrel-macos-arm64 3.2-2 107.00 ERROR
r-oldrel-macos-x86_64 3.2-2 307.00 ERROR
r-oldrel-windows-x86_64 3.2-2 76.00 424.00 500.00 NOTE

Check Details

Version: 3.2-2
Check: installed package size
Result: NOTE
     installed size is 5.4Mb
     sub-directories of 1Mb or more:
     doc 1.7Mb
     libs 1.3Mb
     simulationStudy 1.6Mb
Flavors: r-devel-windows-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-windows-x86_64

Version: 3.2-2
Check: tests
Result: ERROR
     Running ‘DAS-scale.R’ [0s/0s]
     Running ‘DASvar-fallback.R’ [3s/3s]
     Running ‘PsiFunction.R’ [3s/3s]
     Running ‘asymptoticEfficiency.R’ [2s/2s]
     Running ‘compare-methods.R’ [3s/4s]
     Comparing ‘compare-methods.Rout’ to ‘compare-methods.Rout.save’ ...93,94c93,95
    < Timing stopped at: 0.14 0.003 0.148
    < Error : invalid assignment for reference class field 'b.s', should be from class "numeric" or a subclass (was class "dgeMatrix")
    ---
    > Robust linear mixed model fit by DASvar
    > Formula: formula
    > Data: data
    95a97,128
    > Scaled residuals:
    > Min 1Q Median 3Q Max
    > -1.2872 -0.6775 0.1308 0.7136 1.7416
    >
    > Random effects:
    > Groups Name Variance Std.Dev.
    > Batch (Intercept) 2184 46.73
    > Residual 2933 54.16
    > Number of obs: 30, groups: Batch, 6
    >
    > Fixed effects:
    > Estimate Std. Error t value
    > (Intercept) 1526.32 22.04 69.25
    >
    > Robustness weights for the residuals:
    > 25 weights are ~= 1. The remaining 5 ones are
    > 2 3 5 18 23
    > 0.988 0.988 0.984 0.770 0.988
    >
    > Robustness weights for the random effects:
    > [1] 1.000 1.000 1.000 1.000 0.999 1.000
    >
    > Rho functions used for fitting:
    > Residuals:
    > eff: smoothed Huber (k = 1.345, s = 10)
    > sig: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > Random Effects, variance component 1 (Batch):
    > eff: smoothed Huber (k = 1.345, s = 10)
    > vcp: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > A B C D E F
    > -19.822 1.081 33.966 -30.283 67.013 -51.900
    >
    97,98c130,132
    < Timing stopped at: 0.04 0 0.043
    < Error : invalid assignment for reference class field 'b.s', should be from class "numeric" or a subclass (was class "dgeMatrix")
    ---
    > Robust linear mixed model fit by DAStau
    > Formula: formula
    > Data: data
    99a134,165
    > Scaled residuals:
    > Min 1Q Median 3Q Max
    > -1.2656 -0.6593 0.1234 0.6972 1.7041
    >
    > Random effects:
    > Groups Name Variance Std.Dev.
    > Batch (Intercept) 2359 48.57
    > Residual 3059 55.31
    > Number of obs: 30, groups: Batch, 6
    >
    > Fixed effects:
    > Estimate Std. Error t value
    > (Intercept) 1526.34 22.82 66.88
    >
    > Robustness weights for the residuals:
    > 25 weights are ~= 1. The remaining 5 ones are
    > 2 3 5 18 23
    > 0.996 0.996 0.992 0.787 0.994
    >
    > Robustness weights for the random effects:
    > [1] 1 1 1 1 1 1
    >
    > Rho functions used for fitting:
    > Residuals:
    > eff: smoothed Huber (k = 1.345, s = 10)
    > sig: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > Random Effects, variance component 1 (Batch):
    > eff: smoothed Huber (k = 1.345, s = 10)
    > vcp: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > A B C D E F
    > -19.761 1.048 33.601 -29.717 66.229 -51.399
    >
    105c171
    <
    ---
    > IRWLS
    106a173
    > (Intercept) 1526 (22)
    108d174
    <
    109a176
    > (Intercept) | Batch 46.7
    110a178
    > sigma 54.2
    112d179
    < sigma
    115c182
    <
    ---
    > IRWLS
    116a184
    > (Intercept) 1526 (22.8)
    118d185
    <
    119a187
    > (Intercept) | Batch 48.6
    120a189
    > sigma 55.3
    122d190
    < sigma
    231,232c299,301
    < Timing stopped at: 0.058 0 0.06
    < Error : invalid assignment for reference class field 'b.s', should be from class "numeric" or a subclass (was class "dgeMatrix")
    ---
    > Robust linear mixed model fit by DASvar
    > Formula: formula
    > Data: data
    233a303,348
    > Scaled residuals:
    > Min 1Q Median 3Q Max
    > -2.2164 -0.6474 0.0528 0.5885 3.4337
    >
    > Random effects:
    > Groups Name Variance Std.Dev.
    > plate (Intercept) 0.8798 0.9380
    > sample (Intercept) 4.3155 2.0774
    > Residual 0.2954 0.5435
    > Number of obs: 144, groups: plate, 24; sample, 6
    >
    > Fixed effects:
    > Estimate Std. Error t value
    > (Intercept) 23.0116 0.8929 25.77
    >
    > Robustness weights for the residuals:
    > 122 weights are ~= 1. The remaining 22 ones are summarized as
    > Min. 1st Qu. Median Mean 3rd Qu. Max.
    > 0.392 0.669 0.843 0.822 0.978 0.999
    >
    > Robustness weights for the random effects:
    > 25 weights are ~= 1. The remaining 5 ones are
    > 7 13 19 24 30
    > 0.893 0.853 0.893 0.982 0.905
    >
    > Rho functions used for fitting:
    > Residuals:
    > eff: smoothed Huber (k = 1.345, s = 10)
    > sig: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > Random Effects, variance component 1 (plate):
    > eff: smoothed Huber (k = 1.345, s = 10)
    > vcp: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > Random Effects, variance component 2 (sample):
    > eff: smoothed Huber (k = 1.345, s = 10)
    > vcp: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > a b c d e f g
    > 4.436e-01 4.436e-01 1.241e-01 2.030e-01 -1.094e-06 -2.536e-01 -8.075e-01
    > h i j k l m n
    > 4.872e-01 -4.441e-01 -4.541e-01 5.688e-01 2.945e-01 8.498e-01 2.945e-01
    > o p q r s t u
    > 5.481e-01 2.012e-02 -1.615e-01 -1.623e-01 -8.075e-01 5.688e-01 -4.951e-01
    > v w x A B C D
    > -1.628e-01 -4.495e-01 -7.084e-01 5.551e-01 -2.672e-01 4.955e-01 -3.700e-02
    > E F
    > -2.667e-02 -7.956e-01
    >
    235,236c350,352
    < Timing stopped at: 0.054 0.001 0.058
    < Error : invalid assignment for reference class field 'b.s', should be from class "numeric" or a subclass (was class "dgeMatrix")
    ---
    > Robust linear mixed model fit by DAStau
    > Formula: formula
    > Data: data
    237a354,397
    > Scaled residuals:
    > Min 1Q Median 3Q Max
    > -2.161 -0.642 0.057 0.574 3.333
    >
    > Random effects:
    > Groups Name Variance Std.Dev.
    > plate (Intercept) 0.9054 0.9515
    > sample (Intercept) 4.5338 2.1293
    > Residual 0.3114 0.5581
    > Number of obs: 144, groups: plate, 24; sample, 6
    >
    > Fixed effects:
    > Estimate Std. Error t value
    > (Intercept) 23.0002 0.9148 25.14
    >
    > Robustness weights for the residuals:
    > 126 weights are ~= 1. The remaining 18 ones are summarized as
    > Min. 1st Qu. Median Mean 3rd Qu. Max.
    > 0.404 0.684 0.838 0.802 0.920 0.997
    >
    > Robustness weights for the random effects:
    > 25 weights are ~= 1. The remaining 5 ones are
    > 7 13 19 24 30
    > 0.906 0.866 0.906 0.989 0.926
    >
    > Rho functions used for fitting:
    > Residuals:
    > eff: smoothed Huber (k = 1.345, s = 10)
    > sig: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > Random Effects, variance component 1 (plate):
    > eff: smoothed Huber (k = 1.345, s = 10)
    > vcp: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > Random Effects, variance component 2 (sample):
    > eff: smoothed Huber (k = 1.345, s = 10)
    > vcp: smoothed Huber, Proposal 2 (k = 1.345, s = 10)
    > a b c d e f g h
    > 0.450838 0.450838 0.128411 0.205545 0.000502 -0.256535 -0.815539 0.490628
    > i j k l m n o p
    > -0.446899 -0.456519 0.575339 0.297994 0.858936 0.297994 0.554159 0.020649
    > q r s t u v w x
    > -0.163812 -0.164206 -0.815539 0.575339 -0.501182 -0.164248 -0.451685 -0.717135
    > A B C D E F
    > 0.559397 -0.265494 0.499107 -0.034026 -0.023533 -0.794300
    >
    243c403
    <
    ---
    > IRWLS
    244a405
    > (Intercept) 23 (0.893)
    246d406
    <
    247a408,409
    > (Intercept) | plate 0.938
    > (Intercept) | sample 2.077
    248a411
    > sigma 0.543
    250d412
    < sigma
    253c415
    <
    ---
    > IRWLS
    254a417
    > (Intercept) 23 (0.915)
    256d418
    <
    257a420,421
    > (Intercept) | plate 0.952
    > (Intercept) | sample 2.129
    258a423
    > sigma 0.558
    260d424
    < sigma
     Running ‘expectations.R’ [0s/0s]
     Running ‘fitDatasets.R’ [2s/2s]
    Running the tests in ‘tests/fitDatasets.R’ failed.
    Last 13 lines of output:
     Fixed Effects:
     (Intercept)
     1.899
     > fitDatasets_rlmer_custom <- function(datasets) {
     + return(fitDatasets_rlmer(datasets,
     + method = "DASvar",
     + tuningParameter = c(1.345, 2.28, 1.345, 2.28, 5.14, 5.14),
     + label = "fitDatasets_rlmer_custom"))
     + }
     > test(fitDatasets_rlmer_custom(oneWay))
     Error : invalid assignment for reference class field 'b.s', should be from class "numeric" or a subclass (was class "dgeMatrix")
     Error in test(fitDatasets_rlmer_custom(oneWay)) :
     !is(result[[1]], "try-error") is not TRUE
     Calls: test -> stopifnot
     Execution halted
Flavor: r-oldrel-macos-arm64

Version: 3.2-2
Check: running R code from vignettes
Result: ERROR
    Errors in running code in vignettes:
    when running code in ‘rlmer.Rnw’
     ...
    
    > fm <- lmer(diameter ~ (1 | plate) + (1 | sample),
    + PenicillinC)
    
    > rfm <- rlmer(diameter ~ (1 | plate) + (1 | sample),
    + PenicillinC)
    
     When sourcing ‘rlmer.R’:
    Error: invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    Execution halted
    when running code in ‘simulationStudies.Rnw’
     ...
    
    > source(system.file("simulationStudy/breakdown.R",
    + package = "robustlmm"))
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    
     When sourcing ‘simulationStudies.R’:
    Error: Error calling function 'fitDatasets_rlmer_DAStau_lmerNoFit'. Running the function produced the following error:
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    Execution halted
    
     ‘rlmer.Rnw’ using ‘UTF-8’... failed
     ‘simulationStudies.Rnw’ using ‘UTF-8’... failed
Flavor: r-oldrel-macos-arm64

Version: 3.2-2
Check: re-building of vignette outputs
Result: NOTE
    Error(s) in re-building vignettes:
    --- re-building ‘rlmer.Rnw’ using Sweave
    Loading required package: robustlmm
    Loading required package: lme4
    Loading required package: Matrix
    Warning in eval(expr, .GlobalEnv) :
     Current dir: /Volumes/Builds/packages/big-sur-arm64/results/4.2/robustlmm.Rcheck/robustlmm/ has contents: CITATION, DESCRIPTION, INDEX, Meta, NAMESPACE, R, doc, help, html, libs, simulationStudy
    Warning in eval(expr, .GlobalEnv) :
     doc dir: /Volumes/Builds/packages/big-sur-arm64/results/4.2/robustlmm.Rcheck/robustlmm/doc has contents: Penicillin.R, ggplot.theme.R, index.html, plots.R, rlmer.R, rlmer.Rnw, rlmer.pdf, simulationStudies.R, simulationStudies.Rnw, simulationStudies.pdf, sleepstudy.R
    Warning in eval(expr, .GlobalEnv) :
     Filename: /Volumes/Builds/packages/big-sur-arm64/results/4.2/robustlmm.Rcheck/robustlmm/doc/Penicillin.R
    
    Error: processing vignette 'rlmer.Rnw' failed with diagnostics:
     chunk 5 (label = fitPC)
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    
    --- failed re-building ‘rlmer.Rnw’
    
    --- re-building ‘simulationStudies.Rnw’ using Sweave
    Loading required package: ggplot2
    Warning: Removed 75 rows containing missing values (`geom_line()`).
    Warning: Removed 2 rows containing missing values (`geom_hline()`).
    Warning: Removed 2 rows containing missing values (`geom_hline()`).
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    
    Error: processing vignette 'simulationStudies.Rnw' failed with diagnostics:
     chunk 15 (label = source-breakdown-code)
    Error in stopOnFailingFit(fit, "Running the function produced the following error:\n", :
     Error calling function 'fitDatasets_rlmer_DAStau_lmerNoFit'. Running the function produced the following error:
    Error : invalid assignment for reference class field ‘b.s’, should be from class “numeric” or a subclass (was class “dgeMatrix”)
    
    
    --- failed re-building ‘simulationStudies.Rnw’
    
    SUMMARY: processing the following files failed:
     ‘rlmer.Rnw’ ‘simulationStudies.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-oldrel-macos-arm64

Version: 3.2-2
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-oldrel-macos-x86_64