Bootstrapping in Different One-Way and Two-Way ANOVA
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 0%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2024-09-03
- Total releases
- 3 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.3.0
- Download size
- 15 KB
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