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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>.
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=pcsstools
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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.
Health stats visible at Monitor.
[aut,
cre, cph],
R Core Team and contributors worldwide [cph, aut] (Author and copyright
holder of modified 'stats' fragments)