CRAN/E | GFD

GFD

Tests for General Factorial Designs

Installation

About

Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Friedrich et al. (2017) doi:10.18637/jss.v079.c01.

Citation GFD citation info

Key Metrics

Version 0.3.3
R ≥ 3.3
Published 2022-01-18 835 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks GFD results

Downloads

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Maintainer

Maintainer

Sarah Friedrich

sarah.friedrich@math.uni-augsburg.de

Authors

Sarah Friedrich
Frank Konietschke
Markus Pauly
Marc Ditzhaus
Philipp Steinhauer

Material

NEWS
Reference manual
Package source

Vignettes

An Introduction to GFD

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GFD archive

Depends

R ≥ 3.3

Imports

plyr ≥ 1.8.3
MASS ≥ 7.3-43
Matrix ≥ 1.2-2
magic ≥ 1.5-6
plotrix ≥ 3.5-12
methods
shiny ≥ 1.4
shinyjs
shinyWidgets
shinythemes
tippy

Suggests

RGtk2 ≥ 2.20.31
knitr
rmarkdown
HSAUR

Reverse Suggests

MANOVA.RM