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/SMNclmm objects
errorVar                Error scale matrix associated with 'times'
fitted.SMN              Extract smn.lmm fitted values
fitted.SMNclmm          Extract smn.clmm 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()', 'smn.lmm()'
                        and 'smn.clmm()'
lr.test                 Likelihood-ratio test for SMSN/SMN objects
mahalDist               Mahalanobis distance from a smn.lmm or smsn.lmm
                        object
mahalDistCens           Mahalanobis distance from a smn.clmm object
plot.SMN                Plot a smn.lmm or smsn.lmm object
plot.SMNclmm            Plot a smn.clmm 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.mahalDistCens      Plot Mahalanobis distance for a fitted smn.clmm
predict.SMN             Prediction of future observations from an
                        smn.lmm object
predict.SMNclmm         Prediction of future observations from an
                        smn.clmm object
predict.SMSN            Prediction of future observations from an
                        smsn.lmm object
print.SMN               Print a smn.lmm object
print.SMNclmm           Print a smn.clmm object
print.SMSN              Print a smsn.lmm object
ranef                   Extract random effects from smsn.lmm, smn.lmm
                        and smn.clmm objects
residuals.SMN           Extract model residuals from smn.lmm and
                        smsn.lmm objects
residuals.SMNclmm       Extract model residuals from smn.clmm objects
rsmsn.clmm              Generate data from SMSN-CLMM with censored
                        responses
rsmsn.lmm               Generate data from SMSN-LMM
smn.clmm                ML estimation of scale mixture of normal linear
                        mixed models with censored responses
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.SMNclmm         Summary of a smn.clmm object
summary.SMSN            Summary of a smsn.lmm object
update.SMN              Update for SMSN/SMN/SMNclmm objects
