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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.
| Version: | 0.1.9 |
| Imports: | lmerTest, stats |
| Published: | 2023-04-18 |
| Author: | Wentao Zeng [aut, cre, cph] |
| Maintainer: | Wentao Zeng <wentaozeng at aliyun.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | lmerPerm results |
| Reference manual: | lmerPerm.pdf |
| Package source: | lmerPerm_0.1.9.tar.gz |
| Windows binaries: | r-devel: lmerPerm_0.1.9.zip, r-release: lmerPerm_0.1.9.zip, r-oldrel: lmerPerm_0.1.9.zip |
| macOS binaries: | r-release (arm64): lmerPerm_0.1.9.tgz, r-oldrel (arm64): lmerPerm_0.1.9.tgz, r-release (x86_64): lmerPerm_0.1.9.tgz, r-oldrel (x86_64): lmerPerm_0.1.9.tgz |
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