partR2 package | Installation | Basic calculations | rptR and partR2: ratios of variance components | General use of the package | Part $R^2$ for Gaussian mixed models | Controlling predictor combinations | Plotting and data extraction | Warnings messages | Models with transformations in the formula | Running partR2 in parallel | Part $R^2$ for Poisson and binomial mixed models | Dealing with part $R^2$ for interactions | Estimate main effects despite interactions | Pooling main effect and interaction variance | Prioritising main effects | Interactions with factorial predictors | Beta Weights for interactions | Literature

Basic usage | A toy dataset | Repeatability for Gaussian data | Repeatabilities with multiple grouping factors for Gaussian data | Adjusted repeatabilities for Gaussian data | Estimating enhanced agreement repeatabilities | Estimating the coefficient determination $R^2$ for fixed effects | Repeatabilities for Poisson-distributed count data | Repeatabilities for Binary data | Repeatabilities for Proportion data | Multiplicative and additive overdispersion models | Link functions | Estimating variances instead of ratios | Random-slope models | Concluding remarks | References

inbreedR | Installation | inbreedR contains the following functions: | Example datasets | Data format and checking | Conversion from a more common format | Loading and extracting genotype information from VCF files | A short theory of heterozygosity-fitness correlations (HFC) | Identity disequilibrium | HFC parameters | Workflow for estimating the impact of inbreeding on fitness using HFC | Sensitivity to the number of genetic markers | Note on calculating g2 for real-world SNP datasets | Extracting raw data from inbreedR objects | Literature