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

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Reference manual: matrixStrucTest.pdf
Package source: matrixStrucTest_1.0.0.tar.gz
Windows binaries: r-devel: matrixStrucTest_1.0.0.zip, r-devel-gcc8: matrixStrucTest_1.0.0.zip, r-release: matrixStrucTest_1.0.0.zip, r-oldrel: matrixStrucTest_1.0.0.zip
OS X binaries: r-release: matrixStrucTest_1.0.0.tgz, r-oldrel: matrixStrucTest_1.0.0.tgz

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