create.mppData | Create a multi-parent population data object |
CV_partition | Cross validation partition |
design_connectivity | Connected parts of a MPP design |
IBD.mppData | IBD coding for 'mppData' objects |
IBS.mppData | IBS coding for 'mppData' objects |
inc_mat_QTL | QTL incidence matrix |
mppData | Complete 'mppData' object |
mppData_init | 'mppData' object with raw data |
mpp_back_elim | Backward elimination on QTL candidates |
mpp_CIM | MPP Composite Interval Mapping |
mpp_CV | MPP cross-validation |
mpp_forward | MPP QTL analysis using forward regression |
mpp_perm | QTL significance threshold by permutation |
mpp_proc | MPP QTL analysis |
mpp_SIM | MPP Simple Interval Mapping |
MQE_gen_effects | QTL genetic effects multi-QTL effect model |
MQE_proc | Multi-QTL effect MPP analysis |
parent_cluster.mppData | Parent clustering for 'mppData' objects |
par_clu | Parental clustering |
plot.QTLprof | plot QTL profile |
print.summary.mppData | Print summary.mppData object |
print.summary.QeffRes | Print summary.QeffRes object |
print.summary.QR2Res | Print summary.QR2Res object |
QC.mppData | Quality control for 'mppData' objects |
QTL_forward | Forward regression QTL model |
QTL_gen_effects | QTL genetic effects |
QTL_pred_R2 | Predicted QTL global and partial R squared |
QTL_R2 | QTL global and partial R squared |
QTL_select | QTL candidates selection |
subset.mppData | Subset 'mppData' object |
summary.mppData | Summary of 'mppData' object |
summary.QeffRes | Summary of 'QeffRes' object |
summary.QR2Res | Summary of 'QR2Res' object |
USNAM_geno | Reduced genotype data maize US-NAM population |
USNAM_map | Reduced map maize US-NAM population |
USNAM_pheno | Reduced phenotype data from Maize US-NAM population |