predict_burgle: Predict for burgle methods

Description

Predict for burgle methods

Usage

# S3 method for burgle_CauseSpecificCox
predict(
  object,
  newdata = NULL,
  type = "lp",
  cause = 1,
  original = TRUE,
  draws = 1,
  sims = 1,
  times = NULL,
  ...
)
# S3 method for burgle_cph
predict(object, ...)
# S3 method for burgle_flexsurvreg
predict(
  object,
  newdata = NA,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  times = NULL,
  ...
)
# S3 method for burgle_multinom
predict(
  object,
  newdata = NA,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  floor = FALSE,
  seed = NULL,
  ...
)
# S3 method for burgle_coxph
predict(
  object,
  newdata = NA,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  times = NULL,
  ...
)
# S3 method for burgle_lm
predict(
  object,
  newdata,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  se = FALSE,
  limits = NULL,
  ...
)
# S3 method for burgle_glm
predict(
  object,
  newdata,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  se = FALSE,
  ...
)

Value

either a matrix or list of new model predictions

Arguments

object: the results of burgle_* object
newdata: new data of class data.frame
type: either 'lp', 'response', 'link' for glm or 'risk' if time dependent
cause: which cause do you want to predict
original: whether or not to predict using the original model
draws: how many different models to simulate
sims: how many simulated response to draw
times: if type = "risk" time for which to predict risk, if times and sims is multiple the return will be lists within lists
...: for future methods
floor: will set the minimum odds to 0, if negative odds exists
seed: a seed to specificy for simulating responses (multinomial only)
se: whether or not to include the standard error in the simulations
limits: limits (minimum and maximum) for simulated response values.