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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling source/ R- | GAD_2.0.tar.gz |
28.8 KiB |
2.0 |
rolling linux/jammy R-4.5 | GAD_2.0.tar.gz |
122.2 KiB |
2.0 |
latest source/ R- | GAD_2.0.tar.gz |
28.8 KiB |
2.0 |
latest linux/jammy R-4.5 | GAD_2.0.tar.gz |
122.2 KiB |
2.0 |
2026-04-23 source/ R- | GAD_2.0.tar.gz |
28.8 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | GAD_2.0.zip |
125.3 KiB |
2.0 |
2025-04-20 source/ R- | GAD_2.0.tar.gz |
28.8 KiB |