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) Wolf et al. (2020) and Gasdaska et al. (2019) .


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Reference manual

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install.packages("pcsstools")

0.1.1 by Jack Wolf, a month ago


https://github.com/jackmwolf/pcsstools/


Report a bug at https://github.com/jackmwolf/pcsstools/issues


Browse source code at https://github.com/cran/pcsstools


Authors: Jack Wolf [aut, cre, cph] , R Core Team and contributors worldwide [cph, aut] (Author and copyright holder of modified 'stats' fragments)


Documentation:   PDF Manual  


GPL (>= 3) license


Imports gtools, Rdpack, stats

Suggests testthat, knitr, rmarkdown, spelling


See at CRAN