predprob: compute predicted probabilities from fitted models

In pscl: Political Science Computational Laboratory

compute predicted probabilities from fitted models

Description

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

Usage

predprob(obj, ...)

Arguments

obj	fitted model object
...	other arguments

Details

See documentation for specific methods.

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.

Author(s)

Simon Jackman [e-mail]

See Also

predprob.glm, predprob.zeroinfl

Examples

## Not run: 
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)

## End(Not run)

pscl documentation built on May 31, 2023, 5:17 p.m.