VGAM (version 1.1-4)

Influence: Influence Function (S4 generic) of a Fitted Model

Description

Returns a matrix containing the influence function of a fitted model, e.g., a "vglm" object.

Usage

Influence(object, …)
Influence.vglm(object, weighted = TRUE, …)

Arguments

object

an object, especially that of class "vglm"---see vglm-class. Currently other classes such as "vgam" are not yet implemented.

weighted

Logical. Include the prior weights? Currently only TRUE is accepted. This might change in the future and/or the default value might change.

…

any additional arguments such as to allow or disallow the prior weights.

Value

An n by p.vlm matrix.

Warning

This function is currently experimental and defaults may change. Use with caution! The functions here should not be confused with lm.influence.

Details

Influence functions are useful in fields such as sample survey theory, e.g., survey. For each \(i=1,\ldots,n\), the formula is approximately \(-I U\) where \(I\) is the weighted Fisher information matrix and U is the \(i\)th score vector.

See Also

vglm, vglm-class, survey.

Examples

# NOT RUN {
pneumo <- transform(pneumo, let = log(exposure.time))
fit <- vglm(cbind(normal, mild, severe) ~ let, acat, data = pneumo)
coef(fit)  # 8-vector
Influence(fit)  # 8 x 4
all(abs(colSums(Influence(fit))) < 1e-6)  # TRUE
# }