Package: gvcR 0.4.0

gvcR: Genotypic Variance Components

Functionalities to compute model based genetic components i.e. genotypic variance, phenotypic variance and heritability for given traits of different genotypes from replicated data using methodology explained by Burton, G. W. & Devane, E. H. (1953) (<doi:10.2134/agronj1953.00021962004500100005x>) and Allard, R.W. (2010, ISBN:8126524154).

Authors:Muhammad Yaseen [aut, cre], Sami Ullah [aut, ctb]

gvcR_0.4.0.tar.gz
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gvcR_0.4.0.tgz(r-4.4-any)gvcR_0.4.0.tgz(r-4.3-any)
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gvcR.pdf |gvcR.html✨
gvcR/json (API)
NEWS

# Install 'gvcR' in R:
install.packages('gvcR', repos = c('https://myaseen208.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/myaseen208/gvcr/issues

On CRAN:

3.00 score 4 scripts 312 downloads 1 exports 122 dependencies

Last updated 2 months agofrom:62539932be. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:gvc

Dependencies:abindaskpassbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecorrplotcowplotcpp11crosstalkcurldaedata.tableDerivdigestdoBydplyreda4treeRemmeansestimabilityevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifglmmTMBgluegridExtragtablehighrHRWhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelme4lmeInfolmerTestlmeSplinesmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplotlyplyrpolynompredictmeanspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownrstatixsassscalesSparseMsplines2stringistringrsupernovasurvivalsystibbletidyrtidyselecttinytexTMBtryCatchLogutf8vctrsviridisLitewithrxfunyaml