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postHoc (version 0.1.3)

Tools for Post-Hoc Analysis

Description

Implements a range of facilities for post-hoc analysis and summarizing linear models, generalized linear models and generalized linear mixed models, including grouping and clustering via pairwise comparisons using graph representations and efficient algorithms for finding maximal cliques of a graph. Includes also non-parametric toos for post-hoc analysis. It has S3 methods for printing summarizing, and producing plots, line and barplots suitable for post-hoc analyses.

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Version

Install

install.packages('postHoc')

Monthly Downloads

249

Version

0.1.3

License

GPL (>= 3)

Maintainer

Rodrigo Labouriau

Last Published

June 2nd, 2020

Functions in postHoc (0.1.3)

AllContrasts

Constructs a matrix with all the contrasts for pairwise comparisons.
WaldPvalues

Calculates a Wald approximation for the p-values of pairwise comparisons
FormGroupsClusters

Group effects given the pairwise p-values
barplot.PostHoc

Barplot method for objects of class PostHoc
MedianBootCI

Confidence intervals for medians
KruskalWallisAllPvalues

Calculates all p-values of pairwise comparisons using a Kruskal-Wallis test
ApproxWaldPvalues

Wald approximation for the p-values of pairwise comparisons based on the design matrix
DeIdentifiedExample

A simple example for testing pairwise comparison methods
GroupClusterEffects

Group effects for GLMs and GLMMs
print.PostHoc

Print methods for objects of class PostHoc
posthoc

Group effects for GLMs and GLMMs
ExtractCI

Calculates the Wald or a parametric bootstrap confidence intervals for GLMs and GLMMs
posthocKW

Post-hoc analysis based on the Kruskal-Walis test
summary.PostHoc

Summary method for objects of class PostHoc
plot.PostHoc

Plot method for objects of class PostHoc
lines.PostHoc

Lines method for objects of class PostHoc