logLik extracts the log-likelihood (exact or approximated).
fitted extracts fitted values (see fitted.values).
fixef extracts the fixed effects coefficients, $\beta$.
ranef extracts the predicted random effects, $u$.
vcov returns the variance-covariance matrix of the fixed-effects coefficients.
Corr returns a correlation matrix of random effects (with restrictions, see Details).
getDistMat extracts a distance matrix for a Matérn correlation model.## S3 method for class 'HLfit':
logLik(object,REML,...)
## S3 method for class 'HLfit':
fitted(object,...)
## S3 method for class 'HLfit':
fixef(object,...)## S3 method for class 'HLfit':
ranef(object,...)
## S3 method for class 'HLfit':
vcov(object,...)
## S3 method for class 'HLfit':
deviance(object,...)
getDistMat(object,scaled=FALSE)
Corr(object,...)
dev_resids(object,...)TRUE, the function returns the log restricted likelihood (exact or approximated).FALSE, the function ignores the scale parameter $rho$ and returns unscaled distance.logLik), vectors (most cases), matrices (for vcov), matrices or dist objects (for getDistMat). ranef returns a vector with attributes, which inherits from class ranef which has its own (undocumented) print method.
dev_resids returns a vector of deviance residuals. deviance returns the sum of these deviance residuals.
Corr currently returns the correlation matrix of the random effects which are described as Lv (see HLfit)data(wafers)
m1 <- HLfit(y ~X1+X2+(1|batch),
resid.formula = ~ 1 ,data=wafers,HLmethod="ML")
fixef(m1)
vcov(m1)
ranef(m1)Run the code above in your browser using DataLab