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.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 |
plot.SMN |
Plot a smn.lmm or smsn.lmm object |
plot.SMNclmm |
Plot a smn.clmm object |
plot.SMSN |
Plot a smn.lmm or smsn.lmm object |
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 |
residuals.SMSN |
Extract model residuals from smn.lmm and smsn.lmm 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 |
update.SMNclmm |
Update for SMSN/SMN/SMNclmm objects |
update.SMSN |
Update for SMSN/SMN/SMNclmm objects |