predict.cm: Predict function for flexible mixture cure model

Description

Function for doing predictions for class cm.

Usage

# S3 method for cm
predict(object, newdata = NULL,
        type = c("surv", "curerate", "probcure", "survuncured", "hazarduncured",
        "cumhazuncured","densityuncured", "failuncured", "oddsuncured",
        "loghazarduncured","hazard", "density", "fail", "loghazard",
        "odds", "cumhaz"), time = NULL, var.type = c("ci", "se", "n"),
        pars = NULL, link = NULL, keep.attributes = F, ...)

Value

A list containing the predictions of each individual in newdata.

Arguments

object: Object of class cm to do predictions from.
newdata: Data frame from which to compute predictions. If empty, predictions are made on the data which the model was fitted on.
type: Prediction type (see details). The default is surv.
time: Optional time points at which to compute predictions. This argument is not used if type is curerate.
var.type: Character. Possible values are "ci" (default) for confidence intervals, "se" for standard errors, and "n" for neither.
pars: Numerical vector containing the parameters values of the model. In general, this argument can be ignored by the user.
link: Character, indicating the link function for the variance calculations. Possible values are "log", "cloglog" for \(log(-log(x))\) , "mlog" for -log(x), and "I" for the indentity. If NULL (default), the function will determine link from type.
keep.attributes: Logical. If TRUE, newdata will be added to the attributes of the output.
...: Additional arguments. Currently not used.

Details

Possible values for argument type are:
surv: Survival function
curerate: The cure fraction
probcure: The conditional probability of being cured
survuncured: The survival of the uncured
hazarduncured: The hazard function of the uncured
cumhazuncured: The cumulative hazard of the uncured
densityuncured: The density function of the uncured
failuncured: The distribution function of the uncured, i.e., 1 - survuncured
oddsuncured: Odds of the uncured, i.e., (1 - survuncured) / survuncured
loghazarduncured: The log-hazard of the uncured
hazard: The hazard function
density: The density function
fail: The distribution function
loghazard: The log-hazard function
odds: The odds, i.e., (1 - surv) / surv
cumhaz: The cumulative hazard function