predict_burgle {burgle}

Predict for burgle methods

Description

Predict for burgle methods

Usage

## S3 method for class 'burgle_CauseSpecificCox'
predict(
  object,
  newdata = NULL,
  type = "lp",
  cause = 1,
  original = TRUE,
  draws = 1,
  sims = 1,
  times = NULL,
  ...
)

## S3 method for class 'burgle_flexsurvreg'
predict(
  object,
  newdata = NA,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  times = NULL,
  ...
)

## S3 method for class 'burgle_multinom'
predict(
  object,
  newdata = NA,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  floor = FALSE,
  seed = NULL,
  ...
)

## S3 method for class 'burgle_coxph'
predict(
  object,
  newdata = NA,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  times = NULL,
  ...
)

## S3 method for class 'burgle_lm'
predict(
  object,
  newdata,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  se = FALSE,
  ...
)

## S3 method for class 'burgle_glm'
predict(
  object,
  newdata,
  original = TRUE,
  draws = 1,
  sims = 1,
  type = "lp",
  se = FALSE,
  ...
)

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

Value

either a matrix of array of new model predictions