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) 
             <doi:10.1007/s10683-023-09799-6>). 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) <doi:10.1111/j.2517-6161.1953.tb00121.x>) 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: 2023-04-16 17:55:41 UTC; Administrator
Author: Wentao Zeng [aut, cre, cph]
Maintainer: Wentao Zeng <wentaozeng@aliyun.com>
Repository: CRAN
Date/Publication: 2023-04-18 14:10:06 UTC
Built: R 4.6.0; ; 2026-04-26 08:28:15 UTC; unix
