getBootTaus: Run nonparametric bootstrap on the interaction index model

In drugCombo: Drug Interaction Modeling Based on Loewe Additivity Following Harbron's Approach

Description

Function to run nonparametric bootstrap on the interaction index model. It is usually called from getTauSurface.

Usage

getBootTaus(
  fit,
  niter = 100,
  resample = c("all", "mono", "stratified"),
  seed = NULL,
  verbose = FALSE,
  ...
)

Arguments

fit	A HarbronFit object returned by fitModel.
niter	Number of bootstrap samples to use.
resample	Resampling method for bootstrap. Either "all" (default) for resampling from all data, "mono" for separately resampling monotherapy and combination data, or "stratified" for resampling at each dose combination separately. Note that the latter method is not meaningful if there are no replicates in the data.
seed	Random seed to use for bootstrap
verbose	Whether to show progress information.
...	Further arguments passed to the fitModel calls.

Value

A matrix of interaction index estimates based on the bootstrap samples.

Author(s)

Maxim Nazarov

drugCombo documentation built on June 30, 2021, 1:07 a.m.