Residuals for Generalized Estimating Equations
Calculates residuals for a fitted generalized estimating equation.
## S3 method for class 'glmgee'
residuals(
object,
...,
type = c("mahalanobis", "standardized", "response"),
plot.it = TRUE,
identify
)object |
a object of the class glmgee obtained from the fit of a generalized estimating equation. |
... |
further arguments passed to or from other methods |
type |
an (optional) character string giving the type of residuals which should be returned. The available options are: (1) the difference between the observed response and the fitted mean ("response"); (2) the standardized difference between the observed response and the fitted mean ("standardized"); (3) the distance between the observed response vector and the fitted mean vector using a metric based on the product between the cluster size and fitted variance-covariance matrix ("mahalanobis"). By default, |
plot.it |
an (optional) logical switch indicating if a plot of the residuals is required. By default, |
identify |
an (optional) integer value indicating the number of individuals/clusters to identify on the plot of residuals. This is only appropriate when |
A vector with the observed residuals type type.
mod <- size ~ poly(days,4) + treat
fit <- glmgee(mod, id=tree, family=Gamma("log"), data=spruce, corstr="AR-1")
residuals(fit,type="mahalanobis",col="red", pch=20,col.lab="blue",
col.axis="blue",col.main="black",family="mono",cex=0.8)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.