| ASR001 |
LMM for a randomized complete block design - Wheat varieties |
| ASR002 |
LMM for a randomized complete block design with covariates - Wheat varieties |
| ASR003 |
Simple LMM - Twins’ IQ |
| ASR004 |
Hierarchical LMM with nested factors - Silicon wafers |
| ASR005 |
Hierarchical LMM with nested factors and heterogeneous variances - Silicon wafers |
| ASR006 |
One-way classification LMM - Railways rails |
| ASR007 |
LMM with fixed effect interaction - Rat pups |
| ASR008 |
LMM with fixed effect interaction and heterogeneous residual variances - Rat pups |
| ASR009 |
LMM for a randomized complete block design with spatial analysis - Wheat varieties |
| ASR010 |
Random coefficient LMM for longitudinal data (random intercept and slope) - Dog scans |
| ASR011 |
LMM with log transformation of the response and pedigree - Tawny dragon lizards |
| ASR012 |
LMM with pedigree information - Atlantic salmon |
| ASR013 |
Exploring the options to obtain a relationship matrix based on a pedigree |
| ASR014 |
LMM for a split-plot design with covariates - Oats varieties |
| ASR015 |
LMM for a row-column design with nested effects - Spring barley varieties |
| ASR016 |
LMM for a split-split-plot design with a three-way factorial - Apple cultivars |
| ASR017 |
Exploring phenotypic data at each site individually before fitting an MET model - Pine clones |
| ASR018 |
LMM for a multi-environmental trial analysis - Pine clones |
| ASR019 |
Obtaining predictions for specific values of an explanatory variable - Synthetic weight loss data |
| ASR020 |
Random coefficient LMM for longitudinal data (random intercept and slope) - Treatment of Alzheimer’s disease |
| ASR021 |
Three-way interaction linear models - Treating hypertension |
| ASR022 |
LMM for repeated measures using an antedependence variance structure - Dog hearts’ enzyme content |
| ASR023 |
LMM specifying a generalized unstructured correlation matrix - Effect of ozone on lung capacity |
| ASR024 |
LMM with transformed response - Epilepsy treatment |
| ASR025 |
LMM with correlated residuals and model comparison using the LRT - Twins’ IQ |
| ASR026 |
Using SNP markers to obtain a genomic relationship matrix - Spring barley lines |
| ASR027 |
Run a quality control check on a genomic relationship matrix - Spring barley lines |
| ASR028 |
Univariate and bivariate parental LMMs - Maize hybrids |