Package: lme4breeding 1.1.2

Introduction | 1) MET: main effect model | 2.1) MET: diagonal model (DG) | 2,2) Heterogeneous residuals | 3) MET: compund symmetry model (CS) | 3.2) MET: main + diagonal (M+DG) | 4) MET: unstructured model (US) | 5) MET: random regression model | 5.2) Finlay-Wilkinson regression | 6) Factor analytic (reduced rank) model | 7) Two stage analysis | 8) How to deal with massive GxE models or a massive number of individuals | Literature

1) Extracting fixed effect coefficients and their standard errors | 2) Extracting variance-covariance components | 3) Extracting random effect coefficients and their standard errors | 4) Computing predictions or linear combinations | Literature

SECTION 1: Basic topics in quantitative genetics | 1) Marker and non-marker based heritability calculation | 2) Specifying heterogeneous variances in univariate models | 3) Half and full diallel designs (use of the overlay) | 4) Genomic selection: predicting mendelian sampling | 5) Indirect genetic effects | 6) Genomic selection: single cross prediction | 8) Spatial modeling: using the 2-dimensional spline | 9) Multivariate genetic models and genetic correlations | SECTION 2: Special topics in Quantitative genetics | 1) Partitioned model | 2) UDU' decomposition | 3) Mating designs | North Carolina Design I (Nested design) | North Carolina Design II (Factorial design) | 4) GWAS by GBLUP | Literature