Package: PANPRSnext 1.2.1

Katherine Luo

PANPRSnext: Building PRS Models Based on Summary Statistics of GWAs

Shrinkage estimator for polygenic risk prediction (PRS) models based on summary statistics of genome-wide association (GWA) studies. Based upon the methods and original 'PANPRS' package as found in: Chen, Chatterjee, Landi, and Shi (2020) <doi:10.1080/01621459.2020.1764849>.

Authors:Katherine Luo [aut, cre], Osvaldo Espin-Garcia [aut], Ting-Huei Chen [aut]

PANPRSnext_1.2.1.tar.gz
PANPRSnext_1.2.1.tar.gz(r-4.6-arm64)PANPRSnext_1.2.1.tar.gz(r-4.6-x86_64)PANPRSnext_1.2.1.tar.gz(r-4.5-arm64)PANPRSnext_1.2.1.tar.gz(r-4.5-x86_64)
PANPRSnext_1.2.1.tgz(r-4.5-emscripten)
PANPRSnext.pdf |PANPRSnext.html✨
PANPRSnext/json (API)

# Install 'PANPRSnext' in R:
install.packages('PANPRSnext', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Nvec - A vector of sample sizes for the q traits of the 'summaryZ'.
  • funcIndex - Inputs for the functional annotations of SNPs.
  • plinkLD - The LD info from output of the software
  • summaryZ - The Z statistics from the univariate analysis of the association between 3614 SNPs and three traits respectively.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

1.70 score 1 stars 6 scripts 134 downloads 4 exports 3 dependencies

Last updated from:8dcfc0b0d9. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK121
linux-devel-x86_64OK119
source / vignettesOK161
linux-release-arm64OK115
linux-release-x86_64OK117
wasm-releaseOK110

Exports:gsfPEN_RgsPEN_Rtest_gsfPENtest_gsPEN

Dependencies:gtoolsRcppRcppArmadillo