catfun: Categorical Data Analysis

Includes wrapper functions around existing functions for the analysis of categorical data and introduces functions for calculating risk differences and matched odds ratios. R currently supports a wide variety of tools for the analysis of categorical data. However, many functions are spread across a variety of packages with differing syntax and poor compatibility with each another. prop_test() combines the functions binom.test(), prop.test() and BinomCI() into one output. prop_power() allows for power and sample size calculations for both balanced and unbalanced designs. riskdiff() is used for calculating risk differences and matched_or() is used for calculating matched odds ratios. For further information on methods used that are not documented in other packages see Nathan Mantel and William Haenszel (1959) <doi:10.1093/jnci/22.4.719> and Alan Agresti (2002) <ISBN:0-471-36093-7>.

Version:	0.1.4
Imports:	epitools, DescTools, cli, magrittr, Hmisc, broom, rlang
Suggests:	testthat, dplyr, forcats
Published:	2019-06-14
Author:	Nick Williams
Maintainer:	Nick Williams <ntwilliams.personal at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	catfun results

Documentation:

Reference manual:

catfun.pdf

Downloads:

Package source:	catfun_0.1.4.tar.gz
Windows binaries:	r-devel: catfun_0.1.4.zip, r-release: catfun_0.1.4.zip, r-oldrel: catfun_0.1.4.zip
macOS binaries:	r-release (arm64): catfun_0.1.4.tgz, r-oldrel (arm64): catfun_0.1.4.tgz, r-release (x86_64): catfun_0.1.4.tgz, r-oldrel (x86_64): catfun_0.1.4.tgz

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