holi (version 0.1.1)

sim_rstar_glm_pgsql: Shiny App for Running r* GLM Simulations with PostgreSQL Integration

Description

This function launches a Shiny application for setting up and running simulations based on the rstar_glm function. The app allows users to input parameters for the simulation, run the simulation, view results, and save results to a PostgreSQL database.

Usage

sim_rstar_glm_pgsql(dbname, datatable, host, port, user, password)

Value

A Shiny app object that can be run locally.

Arguments

dbname

The name of the PostgreSQL database.

datatable

The name of the table in the PostgreSQL database to save the results.

host

The host of the PostgreSQL database.

port

The port of the PostgreSQL database.

user

The username for accessing the PostgreSQL database.

password

The password for accessing the PostgreSQL database.

References

Pierce, D. A., & Bellio, R. (2017). Modern Likelihood-Frequentist Inference. International Statistical Review / Revue Internationale de Statistique, 85(3), 519–541. doi:10.1111/insr.12232

Bellio R, Pierce D (2020). likelihoodAsy: Functions for Likelihood Asymptotics. R package version 0.51, https://CRAN.R-project.org/package=likelihoodAsy.

Examples

if (interactive()) {
  sim_rstar_glm_pgsql(
    dbname = "mydb",
    datatable = "simulation_results",
    host = "localhost",
    port = 5432,
    user = "myuser",
    password = "mypassword"
  )
}