Linear Fixed/Mixed Effects Models for Diallel Crosses
Creates block diagonal matrix. It is used internally.
Dominant Deviation effect
Create a Data Frame from All Combinations of Parentals
General Combining Ability effect
General Combining Ability without considering the selfed parents
Average heterosis effect
Average heterosis effect
Fitting diallel linear models
Design matrix for blocks
Mean Dominance Deviation effect
Functions to retreive full list of genetical effects
Methods for diallel model fitting
Fitting random diallel linear models
Incidence matrices for Diallel model parametrisation
Reciprocal Effect not parted into RGCA and RSCA
Reciprocal General Combining Ability
Reciprocal Specific Combining Ability
Specific Combining Ability
Selfed Parents effect
Total Specific Combining Ability
Utilities for fitting diallel models.
Variety Effect
Several service functions to be used to analyse datasets obtained from diallel experiments within the frame of linear models in R, as described in Onofri et al (2020) <DOI:10.1007/s00122-020-03716-8>.