Package: polySegratio 0.2-5

polySegratio: Simulate and Test Marker Dosage for Dominant Markers in Autopolyploids

Perform classic chi-squared tests and Ripol et al(1999) binomial confidence interval approach for autopolyploid dominant markers. Also, dominant markers may be generated for families of offspring where either one or both of the parents possess the marker. Missing values and misclassified markers may be generated at random.

Authors:Peter Baker [aut, cre]

polySegratio_0.2-5.tar.gz
polySegratio_0.2-5.zip(r-4.5)polySegratio_0.2-5.zip(r-4.4)polySegratio_0.2-5.zip(r-4.3)
polySegratio_0.2-5.tgz(r-4.5-any)polySegratio_0.2-5.tgz(r-4.4-any)polySegratio_0.2-5.tgz(r-4.3-any)
polySegratio_0.2-5.tar.gz(r-4.5-noble)polySegratio_0.2-5.tar.gz(r-4.4-noble)
polySegratio_0.2-5.tgz(r-4.4-emscripten)polySegratio_0.2-5.tgz(r-4.3-emscripten)
polySegratio.pdf |polySegratio.html✨
polySegratio/json (API)

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

Bug tracker:https://github.com/petebaker/polysegratio/issues

On CRAN:

Conda:

4.56 score 1 packages 24 scripts 219 downloads 18 exports 2 dependencies

Last updated 7 years agofrom:fc816194d7. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winNOTEFeb 20 2025
R-4.5-macNOTEFeb 20 2025
R-4.5-linuxNOTEFeb 20 2025
R-4.4-winNOTEFeb 20 2025
R-4.4-macNOTEFeb 20 2025
R-4.3-winOKFeb 20 2025
R-4.3-macOKFeb 20 2025

Exports:addMisclassaddMissingautoFilldivide.autoMarkersexpected.segRatiomakeLabelplot.segRatioplot.simAutoCrossplot.simAutoMarkersprint.divideAutoMarkersprint.segRatioprint.simAutoCrossprint.simAutoMarkersprint.testSegRatiosegregationRatiossim.autoCrosssim.autoMarkerstest.segRatio

Dependencies:gdatagtools

polySegratio

Rendered frompolySegratio-overview.Rnwusingutils::Sweaveon Feb 20 2025.

Last update: 2014-02-06
Started: 2014-02-06