Package: qtlDesign 0.953

qtlDesign: Design of QTL (Quantitative Trait Locus) Experiments

Design of QTL (quantitative trait locus) experiments involves choosing which strains to cross, the type of cross, genotyping strategies, phenotyping strategies, and the number of progeny to raise and phenotype. This package provides tools to help make such choices. Sen and others (2007) <doi:10.1007/s00335-006-0090-y>.

Authors:Saunak Sen [aut, cre], Jaya Satagopan [ctb], Karl Broman [ctb], Gary Churchill [ctb], Brian Yandell [ctb]

qtlDesign_0.953.tar.gz
qtlDesign_0.953.zip(r-4.7)qtlDesign_0.953.zip(r-4.6)qtlDesign_0.953.zip(r-4.5)
qtlDesign_0.953.tgz(r-4.6-any)qtlDesign_0.953.tgz(r-4.5-any)
qtlDesign_0.953.tar.gz(r-4.7-any)qtlDesign_0.953.tar.gz(r-4.6-any)
qtlDesign_0.953.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
qtlDesign/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.90 score 1 stars 32 scripts 160 downloads 5 mentions 21 exports 0 dependencies

Last updated from:3e3843397b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK94
source / vignettesOK143
linux-release-x86_64OK103
macos-release-arm64OK150
macos-oldrel-arm64OK122
windows-develOK67
windows-releaseOK82
windows-oldrelOK53
wasm-releaseOK86

Exports:ci.lengthdeflatedetectableerror.vargenetic.distgmeans2effectinfoinfo2costmmanunullinfooptselectionoptspacingpowercalcprop.varrecombsamplesizetailprobtauthreshversion.qtlDesign

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Calculating expected QTL confidence interval widthsci.length
Information under null hypothesis of equal meansdeflate deflate.bc deflate.f2 info info.bc info.f2 nullinfo
Functions to calculate information-cost ratiosinfo2cost info2cost.bc info2cost.f2
Calculate scores for minimum moment abberations.eff1 K1 K12 Kstat
Selective phenotyping with similarity measure 2mma
MMA utilitymma.level
Optimal marker spacingoptspacing optspacing.bc optspacing.f2
Optimal selection fractionoptselection optselection.bc optselection.f2
Version of qtlDesign packageversion.qtlDesign
Power, sample size, and detectable effect size calculationsdetectable detectable.bc detectable.f2 detectable.ri powercalc powercalc.bc powercalc.f2 powercalc.ri samplesize samplesize.bc samplesize.f2 samplesize.ri
Calculating thresholds and tail probabilities for genome scanstailprob thresh
Utility functionsgenetic.dist recomb
Effect size, proportion variance explained, and error variance calculationserror.var gmeans2effect prop.var