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 2022.0.0.1 Index]