Power analysis for longitudinal multilevel models: powerlmm 0.3.0 is now out on CRAN

My R package 'powerlmm' has now been update to version 0.3.0. It adds support for a more flexible effect size specifiation.

1 min read R

My R package powerlmm 0.3.0 is now out on CRAN. It can be installed from CRAN https://cran.r-project.org/package=powerlmm or GitHub https://github.com/rpsychologist/powerlmm.

New features

This version adds support for raw effect sizes, and new standardized effect sizes using the function cohend(...). Here’s an example that use the different types.

r
p <- study_parameters(n1 = 11,
						n2 = 25,
						icc_pre_subject = 0.5,
						var_ratio = 0.03,
						effect_size = c(10, # raw
										cohend(0.5, standardizer = "pretest_SD"),
										cohend(0.5, standardizer = "posttest_SD"),
										cohend(0.5, standardizer = "slope_SD"))
						)

Other changes

  • Support for lmerTest 3.0.

Source on GitHub · CC BY 4.0