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incubate (version 1.3.0)

bsDataStep: Generate bootstrap distribution of model parameters to fitted incubate model.

Description

Bootstrap data are here estimated coefficients from models fitted to bootstrap samples. The bootstrap data is used to make bootstrap inference in the second step. It is an internal function, the main entry point is confint.incubate_fit().

Usage

bsDataStep(
  object,
  bs_data = c("parametric", "ordinary"),
  R,
  useBoot = FALSE,
  smd_factor = 0.25
)

Value

bootstrap data, either as matrix or of class boot (depending on the useBoot-flag)

Arguments

object

an incubate_fit-object

bs_data

character. Which type of bootstrap method to generate data?

R

integer. Number of bootstrapped model coefficient estimates

useBoot

flag. Do you want to use the boot-package? Default value is FALSE.

smd_factor

numeric. smooth-delay factor: influence the amount of smoothing. 0 means no smoothing at all. Default is 0.25 (as was optimal in simulation for log-quantile together with log-delay-shift = 5)