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mppR  

Multi-Parent Population QTL Analysis
View on CRAN: Click here


Download and install mppR package within the R console
Install from CRAN:
install.packages("mppR")

Install from Github:
library("remotes")
install_github("cran/mppR")

Install by package version:
library("remotes")
install_version("mppR", "1.5.0")



Attach the package and use:
library("mppR")
Maintained by
Vincent Garin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-01
Latest Update: 2024-02-22
Description:
Analysis of experimental multi-parent populations to detect regions of the genome (called quantitative trait loci, QTLs) influencing phenotypic traits measured in unique and multiple environments. The population must be composed of crosses between a set of at least three parents (e.g. factorial design, 'diallel', or nested association mapping). The functions cover data processing, QTL detection, and results visualization. The implemented methodology is described in Garin, Wimmer, Mezmouk, Malosetti and van Eeuwijk (2017) , in Garin, Malosetti and van Eeuwijk (2020) , and in Garin, Diallo, Tekete, Thera, ..., and Rami (2024) .
How to cite:
Vincent Garin (2018). mppR: Multi-Parent Population QTL Analysis. R package version 1.5.0, https://cran.r-project.org/web/packages/mppR. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:32), 1.1.10 (2018-07-01 15:30), 1.2.0 (2019-05-31 17:50), 1.2.1 (2020-02-11 22:10), 1.3.0 (2021-05-15 14:20), 1.4.0 (2023-01-05 21:50)
Other packages that cited mppR R package
View mppR citation profile
Other R packages that mppR depends, imports, suggests or enhances
Complete documentation for mppR
Functions, R codes and Examples using the mppR R package
Some associated functions: CV_partition . IBD.mppData . IBS.mppData . MQE_gen_effects . MQE_proc . QC.mppData . QTL_R2 . QTL_R2_GE . QTL_effect_GE . QTL_effect_QxEC . QTL_effect_main_QxE . QTL_forward . QTL_gen_effects . QTL_pred_R2 . QTL_select . USNAM_geno . USNAM_map . USNAM_pheno . create.mppData . design_connectivity . inc_mat_QTL . mppData . mppData_GE . mppData_add_pheno . mppData_init . mppData_mdf_pheno . mppGE_CIM . mppGE_SIM . mppGE_proc . mpp_CIM . mpp_CV . mpp_SIM . mpp_back_elim . mpp_forward . mpp_perm . mpp_proc . par_clu . parent_cluster.mppData . plot.QTLprof . plot_QTLxEC . plot_allele_eff_GE . print.summary.QR2Res . print.summary.QeffRes . print.summary.mppData . subset.mppData . summary.QR2Res . summary.QeffRes . summary.mppData . 
Some associated R codes: CV_partition.R . IBD.mppData.R . IBS.mppData.R . IncMat_QTL_MAF.R . IncMat_cross.R . IncMat_parent.R . IncMat_sum0_const.R . MM_QTL.R . MM_comp.R . MQE_BackElim.R . MQE_CIM.R . MQE_CIM_clu.R . MQE_R2.R . MQE_forward.R . MQE_genEffects.R . MQE_plot.R . MQE_proc.R . QC.mppData.R . QC_GenotypingError.R . QC_MAF.R . QC_hetero.R . QC_matchMarker.R . QC_minCrSize.R . QC_missing.R . QC_tagMAFCr.R . QTLModelBack.R . QTLModelCIM.R . QTLModelCIM_MQE.R . QTLModelPerm.R . QTLModelQeff.R . QTLModelSIM.R . QTL_CI.R . QTL_R2.R . QTL_R2_GE.R . QTL_effect_GE.R . QTL_effect_QxEC.R . QTL_effect_main_QxE.R . QTL_forward.R . QTL_gen_effects.R . QTL_pred_R2.R . QTL_pval.R . QTL_pval_mix.R . QTL_report.R . QTL_report_GE.R . QTL_select.R . Qeff_res_processing.R . Qeff_res_processing_MQE.R . Qprof_process.R . R2_lin.R . R2_lin_GE.R . R2_pred.R . W_QTL.R . W_test_Qpar_GxE.R . W_test_Qpar_main.R . check.MQE.R . check.cr.ABH.R . check.inf.R . check.model.comp.R . check.mpp.cv.R . check.mpp.proc.R . check_IBD.R . check_IBS.R . check_QC2.R . check_format_class.R . check_mod_mppGE.R . check_ref_par.R . cof_mat_reduce.R . color.code.R . create.mppData.R . cross_ABH.R . cross_ABH_het.R . design_connectectivity.R . determine_Qmain_QxE_sign.R . form_QTLxEC_mat.R . formula_backward.R . geno_012.R . getVCOV.R . inc_mat_QTL.R . lme_comp.R . mdf_par_name.R . mppData_add_pheno.R . mppData_mdf_pheno.R . mppGE_CIM.R . mppGE_SIM.R . mppGE_proc.R . mpp_CIM.R . mpp_CIM_clu.R . mpp_CV.R . mpp_SIM.R . mpp_SIM_clu.R . mpp_back_elim.R . mpp_forward.R . mpp_perm.R . mpp_proc.R . parent_cluster.mppData.R . parent_clusterCheck.R . plot.QTLprof.R . plot_CV.R . plot_QTLxEC.R . plot_allele_eff_GE.R . print.summary.QR2Res.R . print.summary.QeffRes.R . print.summary.mppData.R . reference.count.R . remove_singularities.R . sign.star.R . subset.mppData.R . summary.QR2Res.R . summary.QeffRes.R . summary.mppData.R .  Full mppR package functions and examples
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