Package: AlphaPart 0.9.8

Gregor Gorjanc

AlphaPart: Partition/Decomposition of Breeding Values by Paths of Information

A software that implements a method for partitioning genetic trends to quantify the sources of genetic gain in breeding programmes. The partitioning method is described in Garcia-Cortes et al. (2008) <doi:10.1017/S175173110800205X>. The package includes the main function AlphaPart for partitioning breeding values and auxiliary functions for manipulating data and summarizing, visualizing, and saving results.

Authors:Gregor Gorjanc [aut, cre], Jana Obsteter [aut], Thiago de Paula Oliveira [aut]

AlphaPart_0.9.8.tar.gz
AlphaPart_0.9.8.zip(r-4.7)AlphaPart_0.9.8.zip(r-4.6)AlphaPart_0.9.8.zip(r-4.5)
AlphaPart_0.9.8.tgz(r-4.6-x86_64)AlphaPart_0.9.8.tgz(r-4.6-arm64)AlphaPart_0.9.8.tgz(r-4.5-x86_64)AlphaPart_0.9.8.tgz(r-4.5-arm64)
AlphaPart_0.9.8.tar.gz(r-4.7-arm64)AlphaPart_0.9.8.tar.gz(r-4.7-x86_64)AlphaPart_0.9.8.tar.gz(r-4.6-arm64)AlphaPart_0.9.8.tar.gz(r-4.6-x86_64)
AlphaPart_0.9.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AlphaPart/json (API)
NEWS

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

Bug tracker:https://github.com/alphagenes/alphapart/issues

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

On CRAN:

Conda:

cpp

3.40 score 25 scripts 402 downloads 1 mentions 27 exports 77 dependencies

Last updated from:66b4920ccd. Checks:11 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE193
linux-devel-x86_64NOTE186
source / vignettesOK229
linux-release-arm64NOTE202
linux-release-x86_64NOTE201
macos-release-arm64NOTE119
macos-release-x86_64NOTE276
macos-oldrel-arm64NOTE112
macos-oldrel-x86_64NOTE211
windows-develNOTE256
windows-releaseNOTE145
windows-oldrelNOTE151
wasm-releaseOK192

Exports:.checkLevelsMap.checkListLevelsMap.isCharacterMap.unknownList.unlistLevelsMapAlphaPartAlphaPartSubsetAlphaPartSumas.levelsMapas.listLevelsMapas.object_sizescenterPopgetScaleis.levelsMapis.listLevelsMapis.object_sizesisUnknownmapLevelsmapLevels<-NAToUnknownobject.sizepedFixBirthYearpedSetBasesavePlotsEBVunknownToNAwrite.csv

Dependencies:askpassbase64encbriobslibcachemcallrclicovrcpp11crayoncurldescdiffobjdigestdirectlabelsdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2ggridgesgluegtableHaploSimhighrhtmltoolshttrisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimeopensslpedigreepillarpkgbuildpkgconfigpkgloadplyrpraiseprocessxpsquadprogR6rappdirsRColorBrewerRcppreshaperexrlangrmarkdownrprojrootS7sassscalessystestthattibbletidyselecttinytextruncnormutf8vctrsviridisLitewaldowithrxfunyaml

AlphaPart - R implementation of the method for partitioning genetic trends

Gregor Gorjanc, Jana Obsteter, Thiago de Paula Oliveira

Rendered fromalphapart-vignette.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2022-08-05
Started: 2021-04-06

Partitioning genetic trends in mean and variance

Gregor Gorjanc, Jana Obsteter, Thiago de Paula Oliveira

Rendered fromalphapart-variance.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2022-08-05
Started: 2022-08-05