mda.biber: Functions for Multi-Dimensional Analysis

Multi-Dimensional Analysis (MDA) is an adaptation of factor analysis developed by Douglas Biber (1992) <doi:10.1007/BF00136979>. Its most common use is to describe language as it varies by genre, register, and use. This package contains functions for carrying out the calculations needed to describe and plot MDA results: dimension scores, dimension means, and factor loadings.

Version:	1.0.1
Depends:	R (≥ 2.10)
Imports:	dplyr, ggplot2, ggpubr, ggrepel, nFactors, stats, tidyr, viridis
Suggests:	rmarkdown, knitr, corrplot, kableExtra, tidyverse, testthat (≥ 3.0.0)
Published:	2025-10-07
DOI:	10.32614/CRAN.package.mda.biber
Author:	David Brown [aut, cre], Alex Reinhart [aut]
Maintainer:	David Brown <dwb2 at andrew.cmu.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	mda.biber results

Documentation:

Reference manual:	mda.biber.html , mda.biber.pdf
Vignettes:	introduction (source, R code)

Downloads:

Package source:	mda.biber_1.0.1.tar.gz
Windows binaries:	r-devel: mda.biber_1.0.1.zip, r-release: not available, r-oldrel: mda.biber_1.0.1.zip
macOS binaries:	r-release (arm64): mda.biber_1.0.1.tgz, r-oldrel (arm64): mda.biber_1.0.1.tgz, r-release (x86_64): mda.biber_1.0.1.tgz, r-oldrel (x86_64): mda.biber_1.0.1.tgz

Linking:

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