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mppR
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-01
Latest Update: 2023-01-05
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
Previous versions and publish date:
Other packages that cited mppR R package
View mppR citation profile
Other R packages that mppR depends,
imports, suggests or enhances
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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