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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 PowRPriori_0.1.2.tar.gz 547.5 KiB
0.1.2 rolling linux/noble R-4.5 PowRPriori_0.1.2.tar.gz 547.5 KiB
0.1.2 rolling source/ R- PowRPriori_0.1.2.tar.gz 473.9 KiB
0.1.2 latest linux/jammy R-4.5 PowRPriori_0.1.2.tar.gz 547.5 KiB
0.1.2 latest linux/noble R-4.5 PowRPriori_0.1.2.tar.gz 547.5 KiB
0.1.2 latest source/ R- PowRPriori_0.1.2.tar.gz 473.9 KiB
0.1.2 2026-04-26 source/ R- PowRPriori_0.1.2.tar.gz 473.9 KiB
0.1.2 2026-04-23 source/ R- PowRPriori_0.1.2.tar.gz 473.9 KiB
0.1.2 2026-04-09 windows/windows R-4.5 PowRPriori_0.1.2.zip 548.7 KiB

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