The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: |
2.0 |
| Depends: |
R (≥ 3.0) |
| Imports: |
matrixStats |
| Published: |
2024-05-01 |
| Author: |
Leonardo Sandrini-Neto
 [aut, cre],
Eliandro Gilbert [aut],
Maurício Camargo
[aut] |
| Maintainer: |
Leonardo Sandrini-Neto <leonardosandrini at ufpr.br> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| In views: |
ExperimentalDesign |
| CRAN checks: |
GAD results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=GAD
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.