a dataframe with 2 columns named 'female' and 'male' with numeric or factor values indicating the male or female used to produce such hybrid.

THIS FUNCTION HAS BEEN OVERPASSED BY THE 'overlay' FUNCTION WHICH IS MORE FLEXIBLE AND FASTER.
This function uses a dataframe with 2 columns named "female" and "male" in numeric format and creates an incidence matrix for a single explanatory variable corresponding to the GCA effect. The resulting incidence matrix can be used in the mmer function as a 'Z' argument in the 2-level list argument for random effects.

Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous variance models (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson, and Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.

hdm: Half Diallel Matrix

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