get_survprob: Calculate survival probabilities

In adibender/pamm: Functions and Utilities for fitting Piece-wise Exponential (Additive) models

Description

Calculate survival probabilities

Usage

get_survprob(newdata, object, ci = TRUE, time_variable = NULL,
  interval_length = quo(intlen), ...)

Arguments

newdata	A data frame or list containing the values of the model covariates at which predictions are required. If this is not provided then predictions corresponding to the original data are returned. If newdata is provided then it should contain all the variables needed for prediction: a warning is generated if not. See details for use with link{linear.functional.terms}.
object	a fitted gam object as produced by gam().
ci	Logical indicating whether to iclude confidence intervals. Defaults to TRUE
time_variable	Name of the variable used for the baseline hazard. If not given, defaults to "tend" for gam fits, else "interval". The latter is assumed to be a factor, the former numeric.
interval_length	quosure providing the name of the variable in newdata containing the interval lengths. Defaults to intlen.
...	Further arguments passed to predict.gam and get_hazard

adibender/pamm documentation built on May 14, 2019, 5:22 p.m.