predict.survival_ln_mixture_em: Predict from a lognormal_em Mixture Model fitted using EM...

In lnmixsurv: Bayesian Mixture Log-Normal Survival Model

Predict from a lognormal_em Mixture Model fitted using EM algorithm.

Description

Predict from a lognormal_em Mixture Model fitted using EM algorithm.

Usage

## S3 method for class 'survival_ln_mixture_em'
predict(object, new_data, type, eval_time, ...)

Arguments

object	A survival_ln_mixture_em object.
new_data	A data frame or matrix of new predictors.
type	A single character. The type of predictions to generate. Valid options are: "survival" for the survival probability. "hazard" for the hazard theoretical hazard.
eval_time	For type = "hazard" or type = "survival", the times for the distribution.
...	Not used, but required for extensibility.

Value

A tibble of predictions. The number of rows in the tibble is guaranteed to be the same as the number of rows in new_data.

Note

Categorical predictors must be converted to factors before the fit, otherwise the predictions will fail.

lnmixsurv documentation built on Sept. 11, 2024, 7:18 p.m.