NEWS.md
build_grm() — build an additive genetic relationship matrix from a pedigree data frame via kinship2::kinship(). Supports custom column names, graceful handling of missing parents, and informative errors for common mistakes.
herit_vc() — profile-likelihood variance-components heritability estimator for a single quantitative trait. Features: inverse-normal transformation, one-sided LRT with chi-squared(1) boundary correction, profile-likelihood 95% CIs, and zero-variance covariate detection.
herit_batch() — iterate herit_vc() over many traits x covariate model combinations; returns a tidy data frame. Includes a cli progress bar.
int_transform() — exported rank-based inverse-normal transformation (Blom-style).
plot_forest() — ggplot2 forest plot method for herit_batch() output, with optional model filtering and significance shading.