bootstrap_fbar_sample: Internal Bootstrap Resampling for F-bar Test

In npboottprmFBar: Informative Nonparametric Bootstrap Test with Pooled Resampling

Internal Bootstrap Resampling for F-bar Test

Description

This internal function performs bootstrap resampling specific to the F-bar test within the context of the nonparametric bootstrap test with pooled resampling. It is used by bootFbar to generate bootstrap samples and compute intermediate statistics.

Usage

bootstrap_fbar_sample(
  data,
  formula,
  grp,
  constraints,
  grp_val,
  grp_sizes,
  pre_calc,
  only_equality_constraints
)

Arguments

data	A data frame containing the dataset for analysis.
formula	An object of class "formula": a symbolic description of the model to be fitted.
grp	A string specifying the grouping variable in the data.
constraints	A matrix or data frame of constraints for the hypothesis test.
grp_val	A vector containing the values of the group variable.
grp_sizes	A table object containing the sizes of each group.
pre_calc	A list containing pre-calculated original test statistics.
only_equality_constraints	A logical indicating whether only equality constraints are used.

Details

The function creates bootstrap samples for each group in the data, then binds these samples together. It applies the restriktor::iht function on these samples to compute the test statistics. Error handling is implemented to manage potential issues in iht computation.

Value

A list containing the test statistics for each constraint type (B, A, F) based on the bootstrap sample. Returns NA values if the iht computation fails.

npboottprmFBar documentation built on Sept. 11, 2024, 5:35 p.m.