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mlmpower
View on CRAN: Click
here
Download and install mlmpower package within the R console
Install from CRAN:
install.packages("mlmpower")
Install from Github:
library("remotes")
install_github("cran/mlmpower") Install by package version:
library("remotes")
install_version("mlmpower", "1.0.10") Attach the package and use:
library("mlmpower")
Maintained by
Brian T. Keller
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-26
Latest Update: 2025-05-07
Description:
A declarative language for specifying multilevel models,
solving for population parameters based on specified variance-explained effect
size measures, generating data, and conducting power analyses to determine
sample size recommendations. The specification allows for any number of
within-cluster effects, between-cluster effects, covariate effects
at either level, and random coefficients. Moreover, the models do not
assume orthogonal effects, and predictors can correlate at either level
and accommodate models with multiple interaction effects.
How to cite:
Brian T. Keller (2023). mlmpower: Power Analysis and Data Simulation for Multilevel Models. R package version 1.0.10, https://cran.r-project.org/web/packages/mlmpower. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Other R packages that mlmpower depends,
imports, suggests or enhances
Complete documentation for mlmpower
Functions, R codes and Examples using
the mlmpower R package
Some associated functions: analyze . as.data.frame.mp_power . as.list.mp_parameters . correlations . effect_size . generate . is_valid . levels.mp_variable . mechanisms . mlmpower . mp_corr_func . mp_parameters . mp_variable . parameters . power_analysis . print.mp_correlations . print.mp_effsize . print.mp_model . print.mp_parameters . print.mp_power . print.mp_variable . product . random_slope . subset.mp_model . summary.mp_model . summary.mp_power . to_formula .
Some associated R codes: actions.R . base.R . correlations.R . effect_size.R . list.R . mechanisms.R . model.R . parameters.R . simulation.R . utils.R . variables.R . zzz.R . Full mlmpower package functions and examples
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