getUIParams

<p>This internal function creates a list of 'shiny' input elements for the
simulation parameters. It defines the UI components for means, standard
deviations, skewness, sample sizes, number of simulations, number of bootstrap
iterations, and confidence level.</p>

internal

Sample sizes are often small due to hard to reach target populations,
rare target events, time constraints, limited budgets, or ethical considerations.
Two statistical methods with promising performance in small samples are the
nonparametric bootstrap test with pooled resampling method, which is the
focus of Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>,
and informative hypothesis testing, which is implemented in the 'restriktor'
package. The 'npboottprmFBar' package uses the nonparametric bootstrap test
with pooled resampling method to implement informative hypothesis testing.
The bootFbar() function can be used to analyze data with this method and the
persimon() function can be used to conduct performance simulations on type-one
error and statistical power.

Mackson Ncube

npboottprmFBar

getUIParams: Generate UI Parameters for persimon_app Simulation

Description

Usage

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Value

Details