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:10.3389/fgene.2021.745901>
Wolf et al. (2020) <doi:10.1142/9789811215636_0063> and
Gasdaska et al. (2019) <doi:10.1142/9789813279827_0036>.
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
gtools, Rdpack, stats |
| Suggests: |
testthat, knitr, rmarkdown, spelling |
| Published: |
2023-09-06 |
| DOI: |
10.32614/CRAN.package.pcsstools |
| Author: |
Jack Wolf  [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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pcsstools
to link to this page.