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 |
| Reference manual: | matrixStrucTest.pdf |
| 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: matrixStrucTest_1.0.0.tgz, r-oldrel: matrixStrucTest_1.0.0.tgz |
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