Package: mlmtools 1.1.0
mlmtools: Multi-Level Model Assessment Kit
Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014) <doi:10.18637/jss.v067.i01>.
Authors:
mlmtools_1.1.0.tar.gz
mlmtools_1.1.0.zip(r-4.5)mlmtools_1.1.0.zip(r-4.4)mlmtools_1.1.0.zip(r-4.3)
mlmtools_1.1.0.tgz(r-4.4-any)mlmtools_1.1.0.tgz(r-4.3-any)
mlmtools_1.1.0.tar.gz(r-4.5-noble)mlmtools_1.1.0.tar.gz(r-4.4-noble)
mlmtools_1.1.0.tgz(r-4.4-emscripten)mlmtools_1.1.0.tgz(r-4.3-emscripten)
mlmtools.pdf |mlmtools.html✨
mlmtools/json (API)
# Install 'mlmtools' in R: |
install.packages('mlmtools', repos = c('https://lkjamison.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lkjamison/mlmtools/issues
Last updated 2 years agofrom:a6bb2233c3. Checks:OK: 6 ERROR: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 14 2024 |
R-4.5-win | OK | Oct 14 2024 |
R-4.5-linux | ERROR | Oct 14 2024 |
R-4.4-win | OK | Oct 14 2024 |
R-4.4-mac | OK | Oct 14 2024 |
R-4.3-win | OK | Oct 14 2024 |
R-4.3-mac | OK | Oct 14 2024 |
Exports:betweenPlotcaterpillarPlotcenterICCmlevelComparelevelComparePlotmlm_assumptionsrsqmlmvarComparewithinPlot
Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Plots Between Group Associations | betweenPlot |
Caterpillar Plot | caterpillarPlot |
Centers variables for mixed effects models | center |
Computes ICC values for mixed-effects models | ICCm |
Instruction Data | instruction |
Reports on a comparison of the mixed model vs. a model that does not account for nesting | levelCompare |
Plots comparison of accounting for nesting vs. not accounting for nesting | levelComparePlot |
Reports the output of testing all assumptions for a multilevel model | mlm_assumptions |
S3Methods for Printing | print.center print.ICCm print.levelCompare print.rsqmlm print.varCompare prints |
Reporting Data | reporting |
Calculates R-squared from lmer models | rsqmlm |
Compares variance explained for two mixed effects models | varCompare |
Plots Within Group Associations | withinPlot |