Last updated on 2023-01-25 04:51:40 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.3 | 3.24 | 126.75 | 129.99 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.3 | 3.10 | 94.56 | 97.66 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.1.3 | 163.81 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.3 | 165.68 | OK | |||
| r-devel-windows-x86_64 | 0.1.3 | 32.00 | 174.00 | 206.00 | NOTE | |
| r-patched-linux-x86_64 | 0.1.3 | 3.19 | 123.67 | 126.86 | OK | |
| r-release-linux-x86_64 | 0.1.3 | 3.56 | 69.35 | 72.91 | ERROR | |
| 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 | 38.00 | 189.00 | 227.00 | 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 | 9.00 | 175.00 | 184.00 | NOTE |
Version: 0.1.3
Check: installed package size
Result: NOTE
installed size is 5.5Mb
sub-directories of 1Mb or more:
doc 4.7Mb
Flavors: r-devel-linux-x86_64-fedora-clang, 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-release-linux-x86_64
Version: 0.1.3
Check: tests
Result: ERROR
Running ‘testthat.R’ [11s/15s]
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-release-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-release-linux-x86_64