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lmerPerm
View on CRAN: Click
here
Download and install lmerPerm package within the R console
Install from CRAN:
install.packages("lmerPerm")
Install from Github:
library("remotes")
install_github("cran/lmerPerm")
Install by package version:
library("remotes")
install_version("lmerPerm", "0.1.9")
Attach the package and use:
library("lmerPerm")
Maintained by
Wentao Zeng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-18
Latest Update: 2023-04-18
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.
How to cite:
Wentao Zeng (2023). lmerPerm: Perform Permutation Test on General Linear and Mixed Linear Regression. R package version 0.1.9, https://cran.r-project.org/web/packages/lmerPerm. Accessed 30 Jan. 2025.
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Complete documentation for lmerPerm
Functions, R codes and Examples using
the lmerPerm R package
Some associated functions: lmerp . permute_fun . s1 . s2 .
Some associated R codes: lmerp.R . permute_fun.R . s1.R . s2.R . Full lmerPerm package functions and examples
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