Package: lmerPerm Type: Package Title: Perform Permutation Test on General Linear and Mixed Linear Regression Version: 0.1.9 Authors@R: person(given = 'Wentao',family = 'Zeng',role = c('aut','cre','cph'),email = 'wentaozeng@aliyun.com') Description: We provide a solution for performing permutation tests on linear and mixed linear regression models. It allows users to obtain accurate p-values without making distributional assumptions about the data. By generating a null distribution of the test statistics through repeated permutations of the response variable, permutation tests provide a powerful alternative to traditional parameter tests (Holt et al. (2023) ). In this early version, we focus on the permutation tests over observed t values of beta coefficients, i.e.original t values generated by parameter tests. After generating a null distribution of the test statistic through repeated permutations of the response variable, each observed t values would be compared to the null distribution to generate a p-value. To improve the efficiency,a stop criterion (Anscombe (1953) ) is adopted to force permutation to stop if the estimated standard deviation of the value falls below a fraction of the estimated p-value. By doing so, we avoid the need for massive calculations in exact permutation methods while still generating stable and accurate p-values. License: GPL-3 Encoding: UTF-8 Imports: lmerTest,stats RoxygenNote: 7.2.3 NeedsCompilation: no Packaged: 2026-07-14 06:52:34 UTC; root Author: Wentao Zeng [aut, cre, cph] Maintainer: Wentao Zeng Config/pak/sysreqs: cmake make Repository: https://awquinlan.r-universe.dev Date/Publication: 2023-04-18 13:10:06 UTC RemoteUrl: https://github.com/cran/lmerPerm RemoteRef: HEAD RemoteSha: 7cb2b9e6ecd10bac78efe8962daf3a53d6922407