deviance_residuals: Deviance Residuals for a Generalized Log-gamma Regression...

In sglg: Fitting Semi-Parametric Generalized log-Gamma Regression Models

Deviance Residuals for a Generalized Log-gamma Regression Model

Description

deviance_residuals is used to generate deviance residuals for a generalized log-gamma regression model.

Usage

deviance_residuals(object, ...)

Arguments

object	an object of the class sglg. This object is returned from the call to glg(), sglg(), survglg() or ssurvglg().
...	other arguments.

Author(s)

Carlos Alberto Cardozo Delgado <[e-mail]>

References

Carlos Alberto Cardozo Delgado, Semi-parametric generalized log-gamma regression models. Ph. D. thesis. Sao Paulo University.

Examples

# Example 1
n <- 300
error <- rglg(n,0,1,1)
y <- 0.5 + error
fit <- glg(y~1,data=as.data.frame(y))
deviance_residuals(fit)
# Example 2
n <- 300
error <- rglg(n,0,1,1)
x <- runif(n,-3,3)
y <- 0.5 +  2*x + error
fit <- glg(y~x,data=as.data.frame(y,x))
deviance_residuals(fit)

sglg documentation built on Sept. 4, 2022, 9:05 a.m.