pscl (version 1.5.5.1)

predprob: compute predicted probabilities from fitted models

Description

Compute predicted probabilities from fitted models, optionally at new covariate values.

Usage

predprob(obj, ...)

Value

A matrix of predicted probabilities, each row a vector of predicted probabilities over the range of responses seen in the data (i.e., min(y):max(y)), conditional on the values of covariates.

Arguments

obj

fitted model object

...

other arguments

Author

Simon Jackman

Details

See documentation for specific methods.

See Also

predprob.glm, predprob.zeroinfl

Examples

if (FALSE) {
data("bioChemists")
zip <- zeroinfl(art ~ . | ., data = bioChemists, EM = TRUE)
phat <- predprob(zip)

newdata <- expand.grid(list(fem="Men",mar="Married",
                            kid5=1,phd=3.103,
                            ment=0:77))
phat <- predprob(zip, newdata = newdata)
}