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pcsstools  

Tools for Regression Using Pre-Computed Summary Statistics
View on CRAN: Click here


Download and install pcsstools package within the R console
Install from CRAN:
install.packages("pcsstools")

Install from Github:
library("remotes")
install_github("cran/pcsstools")

Install by package version:
library("remotes")
install_version("pcsstools", "0.1.2")



Attach the package and use:
library("pcsstools")
Maintained by
Jack Wolf
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-23
Latest Update: 2023-09-06
Description:
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) .
How to cite:
Jack Wolf (2021). pcsstools: Tools for Regression Using Pre-Computed Summary Statistics. R package version 0.1.2, https://cran.r-project.org/web/packages/pcsstools. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.1.1 (2021-03-23 20:30)
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Complete documentation for pcsstools
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