Package: wgaim 2.0-6

wgaim: Whole Genome Average Interval Mapping for QTL Detection and Estimation using ASReml-R

A computationally efficient whole genome approach to detecting and estimating significant QTL in linkage maps using the flexible linear mixed modelling functionality of ASReml-R.

Authors:Julian Taylor [aut, cre], Ari Verbyla [aut]

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NEWS

# Install 'wgaim' in R:
install.packages('wgaim', repos = c('https://drj001.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/drj001/wgaim/issues

Datasets:
  • genoCxR - Genotypic marker data for Cascades x RAC875-2 doubled haploid population in R/qtl format
  • genoRxK - Genotypic marker data for RAC875 x Kukri doubled haploid population in R/qtl format
  • genoSxT - Genotypic marker data for Sunco x Tasman doubled haploid population in R/qtl format
  • phenoCxR - Phenotypic Cascades x RAC875-2 zinc experiment data frame
  • phenoRxK - Phenotypic RAC875 x Kukri trial data frame
  • phenoSxT - Phenotypic Sunco x Tasman trial data frame

On CRAN:

Conda:

4.90 score 1 stars 16 scripts 266 downloads 5 mentions 16 exports 29 dependencies

Last updated 7 months agofrom:02be2de965. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winOKMar 25 2025
R-4.5-macOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-winOKMar 25 2025
R-4.4-macOKMar 25 2025
R-4.4-linuxOKMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:cross2intfixMapgetQTLlinkMaplinkMap.crosslinkMap.defaultlinkMap.wgaimoutStatprint.wgaimqtlSelectqtlTablesummary.wgaimtr.wgaimwgaimwgaim.asremlwgaim.default

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigqtlR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

A Quick Introduction to wgaim QTL Analysis

Julian Taylor

Rendered fromwgaim_intro.Rmdusingknitr::rmarkdownon Mar 25 2025.

Last update: 2024-08-25
Started: 2019-10-10