| 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 |
| coef |
Extract coefficients from smsn.lmm and smn.lmm objects |
| coef.SMN |
Extract coefficients from smsn.lmm and smn.lmm objects |
| coef.SMSN |
Extract coefficients from smsn.lmm and smn.lmm objects |
| confint |
Computes confidence intervals from smn.lmm and smsn.lmm fitted models |
| confint.SMN |
Computes confidence intervals from smn.lmm and smsn.lmm fitted models |
| confint.SMSN |
Computes confidence intervals from smn.lmm and smsn.lmm fitted models |
| 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 |
| fixef |
Extract estimated fixed effects from smsn.lmm and smn.lmm objects |
| fixef.SMN |
Extract estimated fixed effects from smsn.lmm and smn.lmm objects |
| fixef.SMSN |
Extract estimated fixed effects from smsn.lmm and smn.lmm objects |
| formula |
Formula from an smn.lmm and smsn.lmm models |
| formula.SMN |
Formula from an smn.lmm and smsn.lmm models |
| formula.SMSN |
Formula from an smn.lmm and smsn.lmm models |
| healy.plot |
Healy-type plot from a smn.lmm or smsn.lmm object |
| lmmControl |
Control options for 'smsn.lmm()' and 'smn.lmm()' |
| logLik.SMN |
Log-likelihood of an smn.lmm and smsn.lmm models |
| logLik.SMSN |
Log-likelihood of an smn.lmm and smsn.lmm models |
| lr.test |
Likelihood-ratio test for SMSN/SMN objects |
| mahalDist |
Mahalanobis distance from a smn.lmm or smsn.lmm object |
| miceweight |
Data set for clinical trial measuring mice weight |
| nobs |
Extract the number of observations from smn.lmm and smsn.lmm fitted models |
| nobs.SMN |
Extract the number of observations from smn.lmm and smsn.lmm fitted models |
| nobs.SMSN |
Extract the number of observations from smn.lmm and smsn.lmm fitted models |
| 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 |
| ranef.SMN |
Extract random effects from smsn.lmm and smn.lmm objects |
| ranef.SMSN |
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 |
| sigma |
Residual standard deviation from smn.lmm and smsn.lmm objects |
| sigma.SMN |
Residual standard deviation from smn.lmm and smsn.lmm objects |
| sigma.SMSN |
Residual standard deviation from smn.lmm and smsn.lmm objects |
| 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 |
| UTIdata |
Data set for Unstructured Treatment Interruption Study |
| weight_plot |
Weight plot for smn.lmm or smsn.lmm object |
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