Scale Mixture of Skew-Normal Linear Mixed Models

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Documentation for package ‘skewlmm’ version 1.0.0

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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