predict gives empirical Bayes predictions of the response, while
sigma gives the dispersion parameter.
# S3 method for mhglm
predict(object, newdata = NULL, type = c("link", "response"),
se.fit = FALSE, na.action = na.pass, ...)# S3 method for mhglm
sigma(object, ...)
an mhglm object
these arguments behave as in predict.glm. See Details, below.
further arguments passed to or from other methods.
The predict function gives empirical Bayes posterior mean estimates of
response values. If se.fit = TRUE, then the conditional variances of
the random effects are used along with the fixed effect variance-covariance
matrix to estimate the standard errors.
The sigma function gives the square root of the dispersion parameter
or the model; for linear models, this is the error standard deviation.