| BLUE | Calculate Best Linear Unbiased Estimates using linear mixed model from 'nlme' package |
| BLUEs.pheno | Best Linear Unbiased Estimates of phenotype |
| check_cofactors | Build a multi-QTL model using step-wise procedure of checking genetic co-factors. |
| convert_mappoly_to_phased.maplist | Function to extract the phased map from a mappoly.map object |
| count_recombinations | Predict recombination breakpoints using IBD probabilities |
| estimate_GIC | Estimate the Genotypic Information Coefficient (GIC) |
| estimate_IBD | Generate IBD probabilities from marker genotypes and a phased linkage map |
| exploreQTL | Explore the possible segregation type of a QTL peak using Schwarz Information Criterion |
| findPeak | Function to find the position of maximum LOD on a particular linkage group |
| findSupport | Function to find a LOD - x support interval around a QTL position |
| GIC_4x | Genotypic Information Coefficient for example tetraploid |
| IBD_4x | Identical by descent probabilities for example tetraploid |
| import_IBD | Import IBD probabilities as estimated by TetraOrigin or PolyOrigin |
| impute_dosages | Re-estimate marker dosages given IBD input estimated using a high error prior. |
| maxL_IBD | Wrapper function to run estimate_IBD function over multiple error priors |
| meiosis_report | Generate a 'report' of predicted meiotic behaviour in an F1 population |
| mr.ls | Example output of meiosis report function |
| phased_maplist.4x | Phased maplist for example tetraploid |
| Phenotypes_4x | Phenotypes for example tetraploid |
| plotLinearQTL | Plot the results of QTL scan. |
| plotLinearQTL_list | Plot the results of QTL scan. |
| plotQTL | Plot the results of QTL scan. |
| plotRecLS | Plot the recombination landscape across the genome |
| PVE | Function to determine the percentage variance explained (PVE) of a (maximal) QTL model, and explore sub-models. |
| QTLscan | General QTL function that allows for co-factors, completely randomised block designs and the possibility to derive LOD thresholds using a permutation test |
| qtl_LODs.4x | QTL output for example tetraploid |
| Rec_Data_4x | Recombination data for example tetraploid |
| segList_2x | Expected segregation for all markers types of a diploid cross |
| segList_3x | Expected segregation for all markers types of a triploid cross (4 x 2) |
| segList_3x_24 | Expected segregation for all markers types of a triploid cross (2 x 4) |
| segList_4x | Expected segregation for all markers types of a tetraploid cross |
| segList_6x | Expected segregation for all markers types of a hexaploid cross |
| segMaker | Create a list of possible QTL segregation types |
| singleMarkerRegression | Run a single marker regression using marker dosages |
| SNP_dosages.4x | SNP marker dosage data for example tetraploid |
| spline_IBD | Fit splines to IBD probabilities |
| thinmap | Thin out map data |
| visualiseGIC | Visualise Genotypic Information Coefficient |
| visualiseHaplo | Visualise haplotypes in certain individuals in a certain region |
| visualisePairing | Visualise pairing of parental homologues |
| visualiseQTLeffects | Visualise QTL homologue effects around a QTL position |