mmints: Workflows for Building Web Applications

Sharing statistical methods or simulation frameworks through 'shiny' applications often requires workflows for handling data. To help save and display simulation results, the postgresUI() and postgresServer() functions in 'mmints' help with persistent data storage using a 'PostgreSQL' database. The 'mmints' package also offers data upload functionality through the csvUploadUI() and csvUploadServer() functions which allow users to upload data, view variables and their types, and edit variable types before fitting statistical models within the 'shiny' application. These tools aim to enhance efficiency and user interaction in 'shiny' based statistical and simulation applications.

Getting started

Package details

AuthorMackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
MaintainerMackson Ncube <macksonncube.stats@gmail.com>
LicenseMIT + file LICENSE
Version0.2.0
URL https://github.com/mightymetrika/mmints
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mmints")

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mmints documentation built on April 3, 2025, 9:33 p.m.