Package: multilevelTools 0.2.2

multilevelTools: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

Effect sizes, diagnostics and performance metrics for multilevel and mixed effects models. Includes marginal and conditional 'R2' estimates for linear mixed effects models based on Johnson (2014) <doi:10.1111/2041-210X.12225>.

Authors:Joshua F. Wiley [aut, cre]

multilevelTools_0.2.2.tar.gz
multilevelTools_0.2.2.zip(r-4.7)multilevelTools_0.2.2.zip(r-4.6)multilevelTools_0.2.2.zip(r-4.5)
multilevelTools_0.2.2.tgz(r-4.6-any)multilevelTools_0.2.2.tgz(r-4.5-any)
multilevelTools_0.2.2.tar.gz(r-4.7-any)multilevelTools_0.2.2.tar.gz(r-4.6-any)
multilevelTools_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multilevelTools/json (API)

# Install 'multilevelTools' in R:

install.packages('multilevelTools', repos = c('https://jwiley.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jwiley/multileveltools/issues

Pkgdown/docs site:https://joshuawiley.com

On CRAN:

5.83 score 5 stars 136 scripts 885 downloads 9 exports 167 dependencies

Last updated from:6df027ed71. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	281
source / vignettes	OK	252
linux-release-x86_64	NOTE	327
macos-release-arm64	NOTE	162
macos-oldrel-arm64	NOTE	212
windows-devel	NOTE	203
windows-release	NOTE	195
windows-oldrel	NOTE	194
wasm-release	OK	174

Exports:acfByID evaluateLags iccMixed meanDecompose meanDeviations nEffective omegaSEM ranefdata weighted.sma

Dependencies:abind backports bayesplot BH bit bit64 boot bridgesampling brio brms Brobdingnag broom callr car carData checkmate cli clipr coda codetools colorspace corrplot cowplot cpp11 crayon data.table DEoptimR Deriv desc diffobj digest distributional doBy dplyr emmeans estimability evaluate extraoperators farver forcats foreach forecast Formula fracdiff fs fst fstcore future future.apply gamlss gamlss.data gamlss.dist generics ggplot2 ggpubr ggrepel ggridges ggsci ggsignif glmnet globals glue GPArotation gridExtra gtable haven hms inline isoband iterators jomo jsonlite JWileymisc labeling lattice lavaan lifecycle listenv lme4 lmerTest lmtest loo magrittr MASS Matrix MatrixModels matrixStats mgcv mice microbenchmark minqa mitml mnormt modelr multcompView mvtnorm nleqslv nlme nloptr nnet numDeriv ordinal otel pan parallelly pbivnorm pbkrtest pillar pkgbuild pkgconfig pkgload plyr polynom posterior praise prettyunits processx progress ps psych purrr quadprog quantreg QuickJSR R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack readr reformulas reshape2 rlang robustbase rpart rprojroot rstan rstantools rstatix S7 scales shape SparseM StanHeaders stringi stringr survival tensorA testthat tibble tidyr tidyselect timeDate tzdb ucminf urca utf8 vctrs VGAM viridisLite vroom waldo withr zoo

Multilevel Models using lmer

Rendered fromlmer-vignette.Rmdusingknitr::rmarkdown

Last update: 2025-03-26
Started: 2019-12-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Estimate the autocorrelation by unit (ID)	acfByID
Format results from a linear mixed model	APAStyler.modelTest.merMod
Create lag variables and evaluate models with different number of lags	evaluateLags
Intraclass Correlation Coefficient (ICC) from Mixed Models	iccMixed
Mean decomposition of a variable by group(s)	meanDecompose
Function to calculate the mean and deviations from mean	meanDeviations
Compare two lmer models	modelCompare.merMod
modelDiagnostics method for lme objects	modelDiagnostics.lme
modelDiagnostics method for merMod objects	modelDiagnostics.merMod
modelPerformance method for merMod objects	modelPerformance.merMod
estimate detailed results per variable and effect sizes for both fixed and random effects from lmer models	modelTest.merMod
Estimate the effective sample size from longitudinal data	nEffective
Calculate multilevel omega reliability	omegaSEM
Plot Diagnostics for an 'lme' model	plot.modelDiagnostics.lme
Plot Diagnostics for an 'lmer' model	plot.modelDiagnostics.merMod
merMod method for R2	R2.merMod
Create data and plots for 'brm' random effect models	ranefdata
residualDiagnostics methods for 'lme' objects	residualDiagnostics.lme
residualDiagnostics methods for merMod objects	residualDiagnostics.merMod
Weighted Simple Moving Average	weighted.sma