| A.mat | Additive relationship matrix |
| anova.mmer | anova form a GLMM fitted with mmes |
| anova.mmes | anova form a GLMM fitted with mmes |
| antem | Antedependence covariance structure |
| APY | Construct an APY Relationship Precision Matrix |
| ar1m | First-order autoregressive covariance structure |
| ar2m | Second-order autoregressive covariance structure |
| ar3m | Third-order autoregressive covariance structure |
| atm | Selected-level diagonal covariance structure |
| atr | Selected-level diagonal covariance structure for 'mmer' and 'vsr' |
| binm | Binomial proportion response with its number of trials |
| car | Proper conditional autoregressive spatial covariance structure |
| coef.mmer | coef form a GLMM fitted with mmes |
| coef.mmes | coef form a GLMM fitted with mmes |
| corgm | General positive-definite correlation structure |
| corImputation | Imputing a matrix using correlations |
| covm | Covariance Between Two Random Effects |
| covmatrix_mmes | Covariance and correlation matrix of a fitted term with standard errors |
| covparams_mmes | Extract native-scale covariance parameters from an mmes fit |
| covparams_mmes_se | Native-scale covariance parameters and standard errors |
| csm | Compound-symmetry covariance structure |
| csr | User-specified covariance-component structure for 'mmer' and 'vsr' |
| D.mat | Dominance relationship matrix |
| dfToMatrix | data frame to matrix |
| dsm | Diagonal heterogeneous covariance structure |
| dsr | Diagonal covariance structure for 'mmer' and 'vsr' |
| dsumm | Direct sum of residual covariance structures across sections |
| E.mat | Epistatic relationship matrix |
| fam | Factor-analytic covariance structure |
| familym | Different distribution families for the traits of a multi-trait model |
| fitted.mmer | fitted form a LMM fitted with mmes |
| fitted.mmes | fitted form a LMM fitted with mmes |
| fixm | fixed indication matrix |
| GWAS | Genome wide association study analysis |
| H.mat | Combined relationship matrix H |
| ism | Identity covariance structure |
| loadings_mmes | Extract factor-analytic loadings from a fitted mmes model |
| ma1m | Moving-average covariance structures of order one or two |
| ma2m | Moving-average covariance structures of order one or two |
| mam | Moving-average covariance structures of order one or two |
| maternm | Matern spatial covariance structure |
| meffects_mmes | Marker effects recovered from a fitted relationship-based term |
| metricm | Distance-based (metric) spatial correlation structures |
| mmer | *m*ixed *m*odel *e*quations for *r* records |
| mmes | *m*ixed *m*odel *e*quations *s*olver |
| MNR | Multivariate Newton-Raphson algorithm |
| ownm | User-defined covariance structure |
| plot.mmer | plot form a LMM plot with mmes |
| plot.mmes | plot form a LMM plot with mmes |
| pmonitor | plot the change of VC across iterations |
| postPEV | Post-fit prediction error variances and inverse coefficient matrix |
| predict.mmer | Predict form of a LMM fitted with mmes |
| predict.mmes | Predict form of a LMM fitted with mmes |
| print.mmer | summary form a GLMM fitted with mmer |
| print.mmes | summary form a GLMM fitted with mmes |
| print.summary.mmer | summary form a GLMM fitted with mmer |
| print.summary.mmes | summary form a GLMM fitted with mmes |
| print.wald.mmes | Wald tests for fixed effects with optional small-sample denominator df |
| r2 | Reliability |
| randef | extracting random effects |
| residuals.mmer | Residuals form a GLMM fitted with mmes |
| residuals.mmes | Residuals form a GLMM fitted with mmes |
| rotate_back_mmes | Back-transform rotated mmes random effects |
| rrm | Reduced-rank covariance structure |
| sar | Simultaneous autoregressive spatial covariance structure |
| scores_mmes | Predict factor-analytic scores from a fitted mmes model |
| sommer | *So*lving *M*ixed *M*odel *E*quations in *R* |
| spl2Da | Two-dimensional penalised tensor-product of marginal B-Spline basis. |
| spl2Db | Two-dimensional penalised tensor-product of marginal B-Spline basis. |
| spl2Dc | Two-dimensional penalised tensor-product of marginal B-Spline basis. |
| spl2Dmats | Get Tensor Product Spline Mixed Model Incidence Matrices |
| stackTraits | Stack several trait columns into the long format used by multi-trait models |
| strm | Covariance structure spanning several random terms |
| summary.mmer | summary form a GLMM fitted with mmer |
| summary.mmes | summary form a GLMM fitted with mmes |
| toeplitzm | General positive-definite Toeplitz correlation structure |
| tpsmmbwrapper | Get Tensor Product Spline Mixed Model Incidence Matrices |
| unsm | unstructured indication matrix |
| unsm2 | unstructured indication matrix |
| usm | Unstructured positive-definite covariance structure |
| usr | Unstructured covariance structure for 'mmer' and 'vsr' |
| vcc | Equality and scaling constraints between variance parameters |
| vcParams | Equality and scaling constraints between variance parameters |
| vpredict | vpredict form of a LMM fitted with mmes |
| vpredict.mmes | vpredict form of a LMM fitted with mmes |
| vs | variance structure specification |
| vsm | Variance-structure model with arbitrary Kronecker covariance factors |
| vsr | variance structure specification |
| wald_mmes | Wald tests for fixed effects with optional small-sample denominator df |