wsdm3: The WSDM Function for GLMs

In VGAM: Vector Generalized Linear and Additive Models

The WSDM Function for GLMs

Description

Computes the WSDM statistic for one or more parameters in a fitted generalized linear model. The object has "glm". The functions comprise an S3 generic and method.

Usage

wsdm3(object, ...)
## Default S3 method:
wsdm3(object, ...)
## S3 method for class 'glm'
wsdm3(object, hdiff = 0.005,
     retry = TRUE, mux.hdiff = 1,
     maxderiv = 5, theta0 = 0, use.hdeff = FALSE,
     doffset = NULL, subset = NULL,
     derivs.out = FALSE, fixed.hdiff = TRUE,
     eps.wsdm = 0.15, Mux.div = 3, warn.retry = TRUE,
     with1 = TRUE, ...)

Arguments

object	a fitted GLM, created by glm.
hdiff, retry, mux.hdiff	Same as wsdm.
maxderiv, theta0	Same as wsdm.
use.hdeff, doffset	Same as wsdm.
subset, derivs.out	Same as wsdm.
fixed.hdiff	Same as wsdm.
eps.wsdm, Mux.div	Same as wsdm.
warn.retry, with1	Same as wsdm.
...	additional argument(s) for methods.

Details

While VGAM is written in S4, this wsdm3 is an S3 generic function so that the WSDM statistics can be computed for glm models. Since vglm and glm have different convergence criteria, computing the WSDM statistics for effectively the same model may differ.

Value

See wsdm.

See Also

cops, coef, wsdm, fbeetle.

Examples

## Not run: 
fit1 <- glm(cbind(dead, n-dead) ~ logdose, binomial, fbeetle, tr = TRUE)
coef(fit1)
wsdm3(fit1)
fit2 <- vglm(cbind(dead, n-dead) ~ logdose, binomialff, fbeetle, tr = TRUE)
coef(fit2)
wsdm(fit2)

## End(Not run)

VGAM documentation built on Dec. 4, 2025, 1:07 a.m.