Parametric Survival Prediction Wrapper (Log-Logistic) — surv.loglogistic • SuperSurv

Parametric Survival Prediction Wrapper (Log-Logistic)

Usage

surv.loglogistic(time, event, X, newdata, new.times, obsWeights, id, ...)

Arguments

time: Observed follow-up time.
event: Observed event indicator.
X: Training covariate data.frame.
newdata: Test covariate data.frame to use for prediction.
new.times: Times at which to obtain the predicted survivals.
obsWeights: Observation weights.
id: Cluster identification variable.
...: Additional ignored arguments.

Value

A list containing the fitted model and predictions.

Examples

data("metabric", package = "SuperSurv")
dat <- metabric[1:30, ]
x_cols <- grep("^x", names(dat))[1:3]
X <- dat[, x_cols, drop = FALSE]
newX <- X[1:5, , drop = FALSE]
times <- seq(50, 150, by = 50)

fit <- surv.loglogistic(
  time = dat$duration,
  event = dat$event,
  X = X,
  newdata = newX,
  new.times = times,
  obsWeights = rep(1, nrow(dat)),
  id = NULL
)

dim(fit$pred)
#> [1] 5 3