CRAN Package Check Results for Package lavaanExtra

Last updated on 2023-02-05 11:10:38 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.3 3.80 126.52 130.32 OK
r-devel-linux-x86_64-debian-gcc 0.1.3 2.81 94.36 97.17 OK
r-devel-linux-x86_64-fedora-clang 0.1.4 163.35 NOTE
r-devel-linux-x86_64-fedora-gcc 0.1.4 169.19 OK
r-devel-windows-x86_64 0.1.3 34.00 179.00 213.00 NOTE
r-patched-linux-x86_64 0.1.3 3.53 76.91 80.44 ERROR
r-release-linux-x86_64 0.1.3 3.26 105.33 108.59 OK
r-release-macos-arm64 0.1.3 56.00 NOTE
r-release-macos-x86_64 0.1.3 66.00 NOTE
r-release-windows-x86_64 0.1.3 40.00 184.00 224.00 NOTE
r-oldrel-macos-arm64 0.1.3 54.00 NOTE
r-oldrel-macos-x86_64 0.1.3 76.00 NOTE
r-oldrel-windows-ix86+x86_64 0.1.3 10.00 171.00 181.00 NOTE

Check Details

Version: 0.1.4
Check: installed package size
Result: NOTE
     installed size is 5.6Mb
     sub-directories of 1Mb or more:
     doc 4.7Mb
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.3
Check: installed package size
Result: NOTE
     installed size is 5.4Mb
     sub-directories of 1Mb or more:
     doc 4.7Mb
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-macos-x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.1.3
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘tidySEM’
Flavor: r-patched-linux-x86_64

Version: 0.1.3
Check: tests
Result: ERROR
     Running ‘testthat.R’ [10s/13s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > # This file is part of the standard setup for testthat.
     > # It is recommended that you do not modify it.
     > #
     > # Where should you do additional test configuration?
     > # Learn more about the roles of various files in:
     > # * https://r-pkgs.org/tests.html
     > # * https://testthat.r-lib.org/reference/test_package.html#special-files
     >
     > library(testthat)
     > library(lavaanExtra)
     Suggested citation: Thériault, R. (2022).lavaanExtra: Convenience functions for lavaan
     (R package version 0.1.3) [Computer software]. https://lavaanExtra.remi-theriault.com/
     >
     > test_check("lavaanExtra")
     This is lavaan 0.6-13
     lavaan is FREE software! Please report any bugs.
     lavaan 0.6.13 ended normally after 35 iterations
    
     Estimator ML
     Optimization method NLMINB
     Number of model parameters 21
    
     Number of observations 301
    
     Model Test User Model:
     Standard Scaled
     Test Statistic 85.306 87.132
     Degrees of freedom 24 24
     P-value (Chi-square) 0.000 0.000
     Scaling correction factor 0.979
     Yuan-Bentler correction (Mplus variant)
    
     Model Test Baseline Model:
    
     Test statistic 918.852 880.082
     Degrees of freedom 36 36
     P-value 0.000 0.000
     Scaling correction factor 1.044
    
     User Model versus Baseline Model:
    
     Comparative Fit Index (CFI) 0.931 0.925
     Tucker-Lewis Index (TLI) 0.896 0.888
    
     Robust Comparative Fit Index (CFI) 0.930
     Robust Tucker-Lewis Index (TLI) 0.895
    
     Loglikelihood and Information Criteria:
    
     Loglikelihood user model (H0) -3737.745 -3737.745
     Scaling correction factor 1.133
     for the MLR correction
     Loglikelihood unrestricted model (H1) -3695.092 -3695.092
     Scaling correction factor 1.051
     for the MLR correction
    
     Akaike (AIC) 7517.490 7517.490
     Bayesian (BIC) 7595.339 7595.339
     Sample-size adjusted Bayesian (SABIC) 7528.739 7528.739
    
     Root Mean Square Error of Approximation:
    
     RMSEA 0.092 0.093
     90 Percent confidence interval - lower 0.071 0.073
     90 Percent confidence interval - upper 0.114 0.115
     P-value H_0: RMSEA <= 0.050 0.001 0.001
     P-value H_0: RMSEA >= 0.080 0.840 0.862
    
     Robust RMSEA 0.092
     90 Percent confidence interval - lower 0.072
     90 Percent confidence interval - upper 0.114
     P-value H_0: Robust RMSEA <= 0.050 0.001
     P-value H_0: Robust RMSEA >= 0.080 0.849
    
     Standardized Root Mean Square Residual:
    
     SRMR 0.065 0.065
    
     Parameter Estimates:
    
     Standard errors Sandwich
     Information bread Observed
     Observed information based on Hessian
    
     Latent Variables:
     Estimate Std.Err z-value P(>|z|) Std.lv Std.all
     visual =~
     x1 1.000 0.900 0.772
     x2 0.554 0.132 4.191 0.000 0.498 0.424
     x3 0.729 0.141 5.170 0.000 0.656 0.581
     textual =~
     x4 1.000 0.990 0.852
     x5 1.113 0.066 16.946 0.000 1.102 0.855
     x6 0.926 0.061 15.089 0.000 0.917 0.838
     speed =~
     x7 1.000 0.619 0.570
     x8 1.180 0.130 9.046 0.000 0.731 0.723
     x9 1.082 0.266 4.060 0.000 0.670 0.665
    
     Covariances:
     Estimate Std.Err z-value P(>|z|) Std.lv Std.all
     visual ~~
     textual 0.408 0.099 4.110 0.000 0.459 0.459
     speed 0.262 0.060 4.366 0.000 0.471 0.471
     textual ~~
     speed 0.173 0.056 3.081 0.002 0.283 0.283
    
     Variances:
     Estimate Std.Err z-value P(>|z|) Std.lv Std.all
     .x1 0.549 0.156 3.509 0.000 0.549 0.404
     .x2 1.134 0.112 10.135 0.000 1.134 0.821
     .x3 0.844 0.100 8.419 0.000 0.844 0.662
     .x4 0.371 0.050 7.382 0.000 0.371 0.275
     .x5 0.446 0.057 7.870 0.000 0.446 0.269
     .x6 0.356 0.047 7.658 0.000 0.356 0.298
     .x7 0.799 0.097 8.222 0.000 0.799 0.676
     .x8 0.488 0.120 4.080 0.000 0.488 0.477
     .x9 0.566 0.119 4.768 0.000 0.566 0.558
     visual 0.809 0.180 4.486 0.000 1.000 1.000
     textual 0.979 0.121 8.075 0.000 1.000 1.000
     speed 0.384 0.107 3.596 0.000 1.000 1.000
    
     R-Square:
     Estimate
     x1 0.596
     x2 0.179
     x3 0.338
     x4 0.725
     x5 0.731
     x6 0.702
     x7 0.324
     x8 0.523
     x9 0.442
    
     lavaan 0.6.13 ended normally after 37 iterations
    
     Estimator ML
     Optimization method NLMINB
     Number of model parameters 19
    
     Number of observations 301
    
     Model Test User Model:
     Standard Scaled
     Test Statistic 57.873 60.657
     Degrees of freedom 17 17
     P-value (Chi-square) 0.000 0.000
     Scaling correction factor 0.954
     Yuan-Bentler correction (Mplus variant)
    
     Model Test Baseline Model:
    
     Test statistic 785.270 772.454
     Degrees of freedom 28 28
     P-value 0.000 0.000
     Scaling correction factor 1.017
    
     User Model versus Baseline Model:
    
     Comparative Fit Index (CFI) 0.946 0.941
     Tucker-Lewis Index (TLI) 0.911 0.903
    
     Robust Comparative Fit Index (CFI) 0.945
     Robust Tucker-Lewis Index (TLI) 0.909
    
     Loglikelihood and Information Criteria:
    
     Loglikelihood user model (H0) -3317.623 -3317.623
     Scaling correction factor 1.094
     for the MLR correction
     Loglikelihood unrestricted model (H1) -3288.687 -3288.687
     Scaling correction factor 1.028
     for the MLR correction
    
     Akaike (AIC) 6673.246 6673.246
     Bayesian (BIC) 6743.682 6743.682
     Sample-size adjusted Bayesian (SABIC) 6683.424 6683.424
    
     Root Mean Square Error of Approximation:
    
     RMSEA 0.089 0.092
     90 Percent confidence interval - lower 0.065 0.067
     90 Percent confidence interval - upper 0.115 0.119
     P-value H_0: RMSEA <= 0.050 0.006 0.004
     P-value H_0: RMSEA >= 0.080 0.751 0.804
    
     Robust RMSEA 0.090
     90 Percent confidence interval - lower 0.066
     90 Percent confidence interval - upper 0.115
     P-value H_0: Robust RMSEA <= 0.050 0.004
     P-value H_0: Robust RMSEA >= 0.080 0.773
    
     Standardized Root Mean Square Residual:
    
     SRMR 0.059 0.059
    
     Parameter Estimates:
    
     Standard errors Sandwich
     Information bread Observed
     Observed information based on Hessian
    
     Latent Variables:
     Estimate Std.Err z-value P(>|z|) Std.lv Std.all
     visual =~
     x2 1.000 0.544 0.463
     x3 1.522 0.582 2.614 0.009 0.829 0.734
     textual =~
     x4 1.000 0.986 0.848
     x5 1.125 0.068 16.540 0.000 1.109 0.861
     x6 0.928 0.060 15.421 0.000 0.914 0.836
     speed =~
     x7 1.000 0.646 0.594
     x8 1.168 0.133 8.750 0.000 0.754 0.746
     x9 0.983 0.169 5.817 0.000 0.634 0.630
    
     Covariances:
     Estimate Std.Err z-value P(>|z|) Std.lv Std.all
     visual ~~
     textual 0.140 0.083 1.690 0.091 0.260 0.260
     speed 0.132 0.042 3.139 0.002 0.375 0.375
     textual ~~
     speed 0.173 0.059 2.949 0.003 0.273 0.273
    
     Variances:
     Estimate Std.Err z-value P(>|z|) Std.lv Std.all
     .x2 1.085 0.157 6.928 0.000 1.085 0.786
     .x3 0.588 0.285 2.066 0.039 0.588 0.461
     .x4 0.379 0.050 7.513 0.000 0.379 0.281
     .x5 0.430 0.058 7.424 0.000 0.430 0.259
     .x6 0.360 0.047 7.687 0.000 0.360 0.301
     .x7 0.766 0.081 9.482 0.000 0.766 0.648
     .x8 0.453 0.095 4.763 0.000 0.453 0.444
     .x9 0.613 0.088 6.967 0.000 0.613 0.603
     visual 0.296 0.127 2.333 0.020 1.000 1.000
     textual 0.971 0.121 8.023 0.000 1.000 1.000
     speed 0.417 0.089 4.707 0.000 1.000 1.000
    
     R-Square:
     Estimate
     x2 0.214
     x3 0.539
     x4 0.719
     x5 0.741
     x6 0.699
     x7 0.352
     x8 0.556
     x9 0.397
    
     [ FAIL 10 | WARN 0 | SKIP 5 | PASS 30 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (5)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-nice_tidySEM.R:44'): nice_tidySEM on CFA ───────────────────────
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.cfa)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(nice_tidySEM(fit.cfa), c("gg", "ggplot")) at test-nice_tidySEM.R:44:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.cfa)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:51'): nice_tidySEM on CFA with manual structure ──
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.cfa, layout = manual.structure)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:51:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.cfa, layout = manual.structure)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:58'): nice_tidySEM on SEM ───────────────────────
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.sem)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(nice_tidySEM(fit.sem), c("gg", "ggplot")) at test-nice_tidySEM.R:58:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.sem)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:65'): nice_tidySEM on SEM with manual structure ──
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.sem, layout = manual.structure)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:65:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.sem, layout = manual.structure)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:72'): nice_tidySEM on SEM with automatic structure ──
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.sem2, layout = indirect)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:72:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.sem2, layout = indirect)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:79'): nice_tidySEM on SEM with automatic structure and labels ──
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.sem2, layout = indirect, label = label)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:79:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.sem2, layout = indirect, label = label)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:88'): nice_tidySEM on lavaan ────────────────────
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.lavaan)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(nice_tidySEM(fit.lavaan), c("gg", "ggplot")) at test-nice_tidySEM.R:88:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.lavaan)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:95'): nice_tidySEM on lavaan with manual structure ──
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.lavaan, layout = manual.structure)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:95:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.lavaan, layout = manual.structure)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:102'): nice_tidySEM on sem with hide_nonsig_edges ──
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.sem, hide_nonsig_edges = TRUE)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:102:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.sem, hide_nonsig_edges = TRUE)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
     ── Error ('test-nice_tidySEM.R:109'): nice_tidySEM on sem with plot = FALSE ────
     <rlib_error_package_not_found/rlang_error/error/condition>
     Error in `nice_tidySEM(fit.sem, plot = FALSE)`: The package `tidySEM` is required for this function.
     Backtrace:
     ▆
     1. ├─testthat::expect_s3_class(...) at test-nice_tidySEM.R:109:2
     2. │ └─testthat::quasi_label(enquo(object), arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─lavaanExtra::nice_tidySEM(fit.sem, plot = FALSE)
     5. └─rlang::check_installed(c("tidySEM"), reason = "for this function.")
    
     [ FAIL 10 | WARN 0 | SKIP 5 | PASS 30 ]
     Error: Test failures
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.1.3
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘example.Rmd’ using rmarkdown
    --- finished re-building ‘example.Rmd’
    
    --- re-building ‘fullworkflow.Rmd’ using rmarkdown
    Quitting from lines 240-250 (fullworkflow.Rmd)
    Error: processing vignette ‘fullworkflow.Rmd’ failed with diagnostics:
    The package `tidySEM` is required for this function.
    --- failed re-building ‘fullworkflow.Rmd’
    
    --- re-building ‘indirect.Rmd’ using rmarkdown
    Quitting from lines 53-71 (indirect.Rmd)
    Error: processing vignette ‘indirect.Rmd’ failed with diagnostics:
    The package `tidySEM` is required for this function.
    --- failed re-building ‘indirect.Rmd’
    
    --- re-building ‘regression.Rmd’ using rmarkdown
    --- finished re-building ‘regression.Rmd’
    
    --- re-building ‘special.Rmd’ using rmarkdown
    --- finished re-building ‘special.Rmd’
    
    --- re-building ‘test.Rmd’ using rmarkdown
    --- finished re-building ‘test.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘fullworkflow.Rmd’ ‘indirect.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-patched-linux-x86_64