Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models
Overview
Conduct a priori power analyses via Monte-Carlo style data simulation for linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly workflow with helper functions to easily define fixed and random effects as well as diagnostic functions to evaluate the adequacy of the results of the power analysis.
This is a small patch that fixes the warning stemming from the findbars, nobars, etc. functions having been moved from the lme4 to the reformulas package.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 13 (1 internal)
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 86%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
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Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-12-14
- Total releases
- 4 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 515 KB
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