R: compute predicted probabilities from fitted models

predprob {pscl} | R Documentation

## 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 simon.jackman@sydney.edu.au

### See Also

`predprob.glm`, `predprob.zeroinfl`

### Examples

    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)

[Package pscl version 1.5.2 Index]