get_cumu_hazard: Calculate cumulative hazard

Description

Calculate cumulative hazard

Usage

get_cumu_hazard(
  newdata,
  object,
  ci = TRUE,
  ci_type = c("default", "delta", "sim"),
  time_var = NULL,
  se_mult = 2,
  interval_length = "intlen",
  nsim = 100L,
  ...
)

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. Indicates if confidence intervals should be calculated. Defaults to TRUE.
ci_type: The method by which standard errors/confidence intervals will be calculated. Default transforms the linear predictor at respective intervals. "delta" calculates CIs based on the standard error calculated by the Delta method. "sim" draws the property of interest from its posterior based on the normal distribution of the estimated coefficients. See here for details and empirical evaluation.
time_var: 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.
se_mult: Factor by which standard errors are multiplied for calculating the confidence intervals.
interval_length: The variable in newdata containing the interval lengths. Can be either bare unquoted variable name or character. Defaults to "intlen".
...: Further arguments passed to predict.gam and get_hazard