add_survprob: Add survival probability estimates to data set

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

Description

Add survival probability estimates to data set

Usage

add_survprob(newdata, object, ci = TRUE, se.mult = 2, overwrite = FALSE,
  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
se.mult	Factor by which standard errors are multiplied for calculating the confidence intervals.
overwrite	Should hazard columns be overwritten if already present in the data set? Defaults to FALSE. If TRUE, columns with names c("hazard", "se", "lower", "upper") will be overwritten.
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

See Also

predict.gam, add_cumhazard

predict.gam, add_hazard

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