predict: Get risk predictions for 'blm' and 'lexpit' objects.

In blm: Binomial Linear Regression

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 [e-mail]

Examples

data(ccdata)

fit <- lexpit(y~female, y~packyear, data = ccdata,
       			weight = ccdata$w, strata = ccdata$strata)

predict(fit)[1:10]

blm documentation built on Sept. 12, 2022, 9:05 a.m.