Package: rres 1.1

rres: Realized Relatedness Estimation and Simulation

Functions for studying realized genetic relatedness between people. Users will be able to simulate inheritance patterns given pedigree structures, generate SNP marker data given inheritance patterns, and estimate realized relatedness between pairs of individuals using SNP marker data. See Wang (2017) <doi:10.1534/genetics.116.197004>. This work was supported by National Institutes of Health grants R37 GM-046255.

Authors:Bowen Wang

rres_1.1.tar.gz
rres_1.1.zip(r-4.7-x86_64)rres_1.1.zip(r-4.7-arm64)rres_1.1.zip(r-4.6-x86_64)rres_1.1.zip(r-4.6-arm64)rres_1.1.zip(r-4.5-x86_64)
rres_1.1.tgz(r-4.6-x86_64)rres_1.1.tgz(r-4.6-arm64)rres_1.1.tgz(r-4.5-x86_64)rres_1.1.tgz(r-4.5-arm64)
rres_1.1.tar.gz(r-4.7-arm64)rres_1.1.tar.gz(r-4.7-x86_64)rres_1.1.tar.gz(r-4.6-arm64)rres_1.1.tar.gz(r-4.6-x86_64)
rres_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rres/json (API)

# Install 'rres' in R:
install.packages('rres', repos = c('https://bowenwang7.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bowenwang7/rres/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.95 score 18 scripts 254 downloads 1 mentions 19 exports 2 dependencies

Last updated from:1808f80aa1. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE96
linux-devel-x86_64NOTE105
source / vignettesOK148
linux-release-arm64NOTE81
linux-release-x86_64NOTE112
macos-release-arm64NOTE131
macos-release-x86_64NOTE378
macos-oldrel-arm64NOTE109
macos-oldrel-x86_64NOTE307
windows-devel-arm64NOTE344
windows-devel-x86_64NOTE127
windows-release-arm64NOTE352
windows-release-x86_64NOTE101
windows-oldrel-x86_64NOTE127
wasm-releaseOK102

Exports:check.pedinfofgl2ibdfgl2relatednessget.pedindexgrm.matrixgrm.pairibd.lengthibd.markeribd.proportionibd.segmentld.weightspopulate.snpread.plink.binaryread.plink.textrecode.ibdrecode.snpdatasim.haplotypesim.recombwrite.ibdhaplo

Dependencies:kernlabRcpp