bootFbar {npboottprmFBar}

Nonparametric Bootstrap Test with Pooled Resampling for Informative Hypothesis Testing

Description

Performs a nonparametric bootstrap test with pooled resampling based on the methods described by Dwivedi et al. (2017) and using the restriktor::iht function as proposed by Vanbrabant and Rosseel (2020).

Usage

bootFbar(
  data,
  formula,
  grp,
  constraints,
  nboot = 1000,
  conf.level = 0.95,
  seed = NULL,
  na_rm = FALSE
)

Arguments

data

A data frame containing the dataset for analysis.

formula

An object of class "formula" (or one that can be coerced to that class): 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.

nboot

An integer indicating the number of bootstrap resamples (default is 1000).

conf.level

A numeric value specifying the confidence level for the interval (default is 0.95).

seed

An optional integer setting the seed for random number generation (default is NULL).

na_rm

A logical value indicating whether NA values should be removed (default is FALSE).

Value

A list containing the following components:

-pvalueA, pvalueB, pvalueF: P-values for the different test types.

-ciA, ciB, ciF: Confidence intervals for the test statistics.

-TsA, TsB, TsF: Bootstrap test statistics.

-modelo: The linear model object.

-ihto: The initial iht computation result.

References

Dwivedi, A. K., Mallawaarachchi, I., & Alvarado, L. A. (2017). Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method. Statistics in Medicine, 36(14), 2187–2205. https://doi.org/10.1002/sim.7263

Vanbrabant, L., & Rosseel, Y. (2020). An Introduction to Restriktor: Evaluating informative hypotheses for linear models. In R. van de Schoot & M. Miocevic (Eds.), Small Sample Size Solutions: A Guide for Applied Researchers and Practitioners (1st ed., pp. 157 -172). Routledge. https://doi.org/10.4324/9780429273872-14

Examples

bootFbar(data = iris, formula = Sepal.Length ~ -1 + Species,
         grp = "Species",
         constraints = 'Speciessetosa < Speciesversicolor < Speciesvirginica',
         nboot = 10, conf.level = 0.95, seed = NULL, na_rm = FALSE)