pcsstools: Tools for Regression Using Pre-Computed Summary Statistics

Defines functions to describe regression models using only pre-computed summary statistics (i.e. means, variances, and covariances) in place of individual participant data. Possible models include linear models for linear combinations, products, and logical combinations of phenotypes. Implements methods presented in Wolf et al. (2021) <doi:10.1101/2021.03.08.433979> Wolf et al. (2020) <doi:10.1142/9789811215636_0063> and Gasdaska et al. (2019) <doi:10.1142/9789813279827_0036>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: gtools, Rdpack, stats
Suggests: testthat, knitr, rmarkdown, spelling
Published: 2021-03-23
Author: Jack Wolf ORCID iD [aut, cre, cph], R Core Team and contributors worldwide [cph, aut] (Author and copyright holder of modified 'stats' fragments)
Maintainer: Jack Wolf <jackwolf910 at gmail.com>
BugReports: https://github.com/jackmwolf/pcsstools/issues
License: GPL (≥ 3)
URL: https://github.com/jackmwolf/pcsstools/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: pcsstools results


Reference manual: pcsstools.pdf
Package source: pcsstools_0.1.1.tar.gz
Windows binaries: r-devel: pcsstools_0.1.1.zip, r-release: pcsstools_0.1.1.zip, r-oldrel: pcsstools_0.1.1.zip
macOS binaries: r-release: pcsstools_0.1.1.tgz, r-oldrel: pcsstools_0.1.1.tgz


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