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A collection of functions for symbolic computation using the 'caracas' package for structural equation models and other statistical analyses. Among its features is the ability to calculate the model-implied covariance (and correlation) matrix and the sampling covariance matrix of variable functions using the delta method.
Version: | 0.4 |
Depends: | caracas |
Imports: | OpenMx, metaSEM |
Suggests: | testthat, roxygen2 |
Published: | 2024-05-16 |
DOI: | 10.32614/CRAN.package.symSEM |
Author: | Mike Cheung [aut, cre] |
Maintainer: | Mike Cheung <mikewlcheung at nus.edu.sg> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/mikewlcheung/symsem |
NeedsCompilation: | no |
SystemRequirements: | Python (>= 3.6.0) |
Materials: | README NEWS |
CRAN checks: | symSEM results |
Reference manual: | symSEM.pdf |
Package source: | symSEM_0.4.tar.gz |
Windows binaries: | r-devel: symSEM_0.4.zip, r-release: symSEM_0.4.zip, r-oldrel: symSEM_0.4.zip |
macOS binaries: | r-release (arm64): symSEM_0.4.tgz, r-oldrel (arm64): symSEM_0.4.tgz, r-release (x86_64): symSEM_0.4.tgz, r-oldrel (x86_64): symSEM_0.4.tgz |
Old sources: | symSEM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.