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statgenMPP
View on CRAN: Click
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Download and install statgenMPP package within the R console
Install from CRAN:
install.packages("statgenMPP")
Install from Github:
library("remotes")
install_github("cran/statgenMPP") Install by package version:
library("remotes")
install_version("statgenMPP", "1.0.4") Attach the package and use:
library("statgenMPP")
Maintained by
Bart-Jan van Rossum
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All associated links for this package
First Published: 2022-03-21
Latest Update: 2025-02-11
Description:
For Multi Parent Populations (MPP) Identity By Descend (IBD) probabilities are computed using Hidden Markov Models. These probabilities are then used in a mixed model approach for QTL Mapping as described in Li et al. (<doi:10.1007/s00122-021-03919-7>).
How to cite:
Bart-Jan van Rossum (2022). statgenMPP: QTL Mapping for Multi Parent Populations. R package version 1.0.4, https://cran.r-project.org/web/packages/statgenMPP. Accessed 04 Jun. 2026.
Previous versions and publish date:
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Complete documentation for statgenMPP
Functions, R codes and Examples using
the statgenMPP R package
Some associated functions: barleyMQM . barleyPheno . calcDistance . calcIBDMPP . createGDataMPP . effectPlot . kinshipIBD . maizeMQM . maizeSQM . plot.QTLMPP . plot.gDataMPP . print.summary.QTLMPP . randomQTLmodel . readRABBITMPP . scanQTL . selQTLMPP . statgenMPP-package . summary.QTLMPP . summary.gDataMPP .
Some associated R codes: calcIBDMPP.R . createGDataMPP.R . createGDataMPPInternal.R . createQTLMPP.R . data.R . effectPlot.R . kinshipIBD.R . randomQTLmodel.R . readRabbitMPP.R . reexport.R . scanQTL.R . selQTLMPP.R . statgenMPP.R . utils.R . Full statgenMPP package functions and examples
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