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
DOI: 10.32614/CRAN.package.matrixStrucTest
Author: Brian D. Segal [aut, cre]
Maintainer: Brian D. Segal <bdsegal at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: matrixStrucTest results


Reference manual: matrixStrucTest.pdf


Package source: matrixStrucTest_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.