predict {blm} | R Documentation |

## Get risk predictions for `blm`

and `lexpit`

objects.

### Description

Computes vector of risk predictions for the dataset used to fit the model. As with method `predict.glm`

, standard errors for fitted values can be requested and predictions for the covariates of the data frame `newdata`

can be computed rather than the default computation of all fitted values for the data frame used for model fitting.

### Methods

- predict
`signature(object = "blm", newdata, se = FALSE)`

:
Risk predictions for fit design matrix.

- predict
`signature(object = "lexpit", newdata, se = FALSE)`

:
Risk predictions for fit design matrix.

### Author(s)

Stephanie Kovalchik s.a.kovalchik@gmail.com

### Examples

data(ccdata)
fit <- lexpit(y~female, y~packyear, data = ccdata,
weight = ccdata$w, strata = ccdata$strata)
predict(fit)[1:10]

[Package

*blm* version 2013.2.4.4

Index]