Package: GxEScanR 2.0.2

John Morrison

GxEScanR: Run GWAS/GWEIS Scans Using Binary Dosage Files

Tools to run genome-wide association study (GWAS) and genome-wide by environment interaction study (GWEIS) scans using the genetic data stored in a binary dosage file. The user provides a data frame with the subject's covariate data and the information about the binary dosage file returned by the BinaryDosage::getbdinfo() routine.

Authors:John Morrison [aut, cre], NCI [fnd], NCI [fnd], NIEHS [fnd], NHLBI [fnd]

GxEScanR_2.0.2.tar.gz
GxEScanR_2.0.2.tar.gz(r-4.5-noble)GxEScanR_2.0.2.tar.gz(r-4.4-noble)
GxEScanR_2.0.2.tgz(r-4.4-emscripten)GxEScanR_2.0.2.tgz(r-4.3-emscripten)
GxEScanR.pdf |GxEScanR.html✨
GxEScanR/json (API)
NEWS

# Install 'GxEScanR' in R:
install.packages('GxEScanR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

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

2.28 score 19 scripts 192 downloads 2 exports 22 dependencies

Last updated 4 years agofrom:633b16cba9. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linux-x86_64NOTENov 13 2024

Exports:gwasgweis

Dependencies:clicodetoolsdata.tablediagramdigestfuturefuture.applyglobalsKernSmoothlatticelavalistenvMatrixnumDerivparallellyprodlimprogressrRcppRcppArmadilloshapeSQUAREMsurvival

Using GxEScanR

Rendered fromUsingGxEScanR.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2020-09-29
Started: 2020-09-29