predict gives empirical Bayes predictions of the response, while sigma gives the dispersion parameter.
## S3 method for class 'mhglm'predict(object, newdata =NULL, type = c("link","response"), se.fit =FALSE, na.action = na.pass,...)## S3 method for class 'mhglm'sigma(object,...)
Arguments
object: an mhglm object
newdata, type, se.fit, na.action: these arguments behave as in predict.glm. See Details, below.
...: further arguments passed to or from other methods.
Details
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.