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PowRPriori: Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models
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.
Getting started
Browse package contents
Package details |
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| Author | Markus Grill [aut, cre] |
| Maintainer | Markus Grill <markus.grill@uni-wh.de> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/mirgll/PowRPriori |
| Package repository | View on CRAN |
| Installation |
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