Package: GAD 2.0
Leonardo Sandrini-Neto
GAD: Analysis of Variance from General Principles
Analysis of complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and 'a posteriori' comparisons of means are done using Student-Newman-Keuls (SNK) procedure. For those terms with no denominator in the F-ratio calculation, pooled mean squares and quasi F-ratios are provided. Magnitute of effects are assessed by components of variation.
Authors:
GAD_2.0.tar.gz
GAD_2.0.tar.gz(r-4.5-noble)GAD_2.0.tar.gz(r-4.4-noble)
GAD_2.0.tgz(r-4.4-emscripten)GAD_2.0.tgz(r-4.3-emscripten)
GAD.pdf |GAD.html✨
GAD/json (API)
# Install 'GAD' in R: |
install.packages('GAD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:3a4130d233. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-linux | OK | Nov 29 2024 |
Exports:as.fixedas.randomC.testcomp.varestimatesgadis.fixedis.randompoolingsnk.test
Dependencies:matrixStats