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| acfresid | Autocorrelation function for smn.lmm or smsn.lmm residuals |
| boot_ci | Extract confidence intervals from 'lmmBoot' object |
| boot_par | Parametric bootstrap for SMSN/SMN objects |
| criteria | Extracts criteria for model comparison of SMSN/SMN objects |
| errorVar | Error scale matrix associated with 'times' |
| fitted.SMN | Extract smn.lmm fitted values |
| fitted.SMSN | Extract smsn.lmm fitted values |
| healy.plot | Healy-type plot from a smn.lmm or smsn.lmm object |
| lmmControl | Control options for 'smsn.lmm()' and 'smn.lmm()' |
| lr.test | Likelihood-ratio test for SMSN/SMN objects |
| mahalDist | Mahalanobis distance from a smn.lmm or smsn.lmm object |
| plot.acfresid | Plot ACF for smn.lmm or smsn.lmm residuals |
| plot.mahalDist | Plot Mahalanobis distance for a fitted smn.lmm or smsn.lmm |
| plot.SMN | Plot a smn.lmm or smsn.lmm object |
| plot.SMSN | Plot a smn.lmm or smsn.lmm object |
| predict.SMN | Prediction of future observations from an smn.lmm object |
| predict.SMSN | Prediction of future observations from an smsn.lmm object |
| print.SMN | Print a smn.lmm object |
| print.SMSN | Print a smsn.lmm object |
| ranef | Extract random effects from smsn.lmm and smn.lmm objects |
| residuals.SMN | Extract model residuals from smn.lmm and smsn.lmm objects |
| residuals.SMSN | Extract model residuals from smn.lmm and smsn.lmm objects |
| rsmsn.lmm | Generate data from SMSN-LMM |
| smn.lmm | ML estimation of scale mixture of normal linear mixed models |
| smsn.lmm | ML estimation of scale mixture of skew-normal linear mixed models |
| summary.SMN | Summary of a smn.lmm object |
| summary.SMSN | Summary of a smsn.lmm object |
| update.SMN | Update for SMSN/SMN objects |
| update.SMSN | Update for SMSN/SMN objects |