add_hazard2: Add predicted (cumulative) hazard to data set
In adibender/pem.xgb: GBT (PEM)

Add (cumulative) hazard based on the provided data set and model.

add_hazard2(
  newdata,
  object,
  reference = NULL,
  overwrite = FALSE,
  time_var = NULL,
  ...
)

add_cumu_hazard2(
  newdata,
  object,
  overwrite = FALSE,
  time_var = NULL,
  interval_length = "intlen",
  ...
)

`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()`.
`reference`	A data frame with number of rows equal to `nrow(newdata)` or one, or a named list with (partial) covariate specifications. See examples.
`overwrite`	Should hazard columns be overwritten if already present in the data set? Defaults to `FALSE`.
`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.
`...`	Further arguments passed to `predict.xgb.Booster`.
`interval_length`	The variable in newdata containing the interval lengths. Can be either bare unquoted variable name or character. Defaults to `"intlen"`.