matrixStrucTest: Tests of Matrix Structure for Construct Validation

Tests for block-diagonal structure in symmetric matrices (e.g. correlation matrices) under the null hypothesis of exchangeable off-diagonal elements. As described in Segal et al. (2019), these tests can be useful for construct validation either by themselves or as a complement to confirmatory factor analysis. Monte Carlo methods are used to approximate the permutation p-value with Hubert's Gamma (Hubert, 1976) and a t-statistic. This package also implements the chi-squared statistic described by Steiger (1980). Please see Segal, et al. (2019) <doi:10.1007/s11336-018-9647-4> for more information.

Version:	1.0.0
Depends:	R (≥ 3.1)
Suggests:	ggplot2, reshape2
Published:	2019-07-18
Author:	Brian D. Segal [aut, cre]
Maintainer:	Brian D. Segal <bdsegal at umich.edu>
License:	GPL (≥ 3)
URL:	https://github.com/bdsegal/matrixStrucTest
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	matrixStrucTest results

Documentation:

Reference manual:

matrixStrucTest.pdf

Downloads:

Package source:	matrixStrucTest_1.0.0.tar.gz
Windows binaries:	r-devel: matrixStrucTest_1.0.0.zip, r-release: matrixStrucTest_1.0.0.zip, r-oldrel: matrixStrucTest_1.0.0.zip
macOS binaries:	r-release (arm64): matrixStrucTest_1.0.0.tgz, r-oldrel (arm64): matrixStrucTest_1.0.0.tgz, r-release (x86_64): matrixStrucTest_1.0.0.tgz, r-oldrel (x86_64): matrixStrucTest_1.0.0.tgz

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