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AOboot

Bootstrapping in Different One-Way and Two-Way ANOVA

To address the violation of the assumption of normally distributed variables, researchers frequently employ bootstrapping. Building upon established packages for R (Sigmann et al. (2024) <doi:10.32614/CRAN.package.afex>, Lenth (2024) <doi:10.32614/CRAN.package.emmeans>), we provide bootstrapping functions to approximate a normal distribution of the parameter estimates for between-subject, within-subject, and mixed one-way and two-way ANOVA.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 AOboot_0.1.2.tar.gz 92.2 KiB
0.1.2 rolling linux/noble R-4.5 AOboot_0.1.2.tar.gz 92.1 KiB
0.1.2 rolling source/ R- AOboot_0.1.2.tar.gz 14.6 KiB
0.1.2 latest linux/jammy R-4.5 AOboot_0.1.2.tar.gz 92.2 KiB
0.1.2 latest linux/noble R-4.5 AOboot_0.1.2.tar.gz 92.1 KiB
0.1.2 latest source/ R- AOboot_0.1.2.tar.gz 14.6 KiB
0.1.2 2026-04-26 source/ R- AOboot_0.1.2.tar.gz 14.6 KiB
0.1.2 2026-04-23 source/ R- AOboot_0.1.2.tar.gz 14.6 KiB
0.1.2 2026-04-09 windows/windows R-4.5 AOboot_0.1.2.zip 94.6 KiB
0.1.2 2025-04-20 source/ R- AOboot_0.1.2.tar.gz 14.6 KiB

Dependencies (latest)

Depends