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.

Version:	0.1.0
Imports:	DT, pool, RPostgres, shiny
Suggests:	testthat (≥ 3.0.0)
Published:	2024-09-05
DOI:	10.32614/CRAN.package.mmints
Author:	Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer:	Mackson Ncube <macksonncube.stats at gmail.com>
BugReports:	https://github.com/mightymetrika/mmints/issues
License:	MIT + file LICENSE
URL:	https://github.com/mightymetrika/mmints
NeedsCompilation:	no
Materials:	README
CRAN checks:	mmints results

Documentation:

Reference manual:

mmints.pdf

Downloads:

Package source:	mmints_0.1.0.tar.gz
Windows binaries:	r-devel: mmints_0.1.0.zip, r-release: mmints_0.1.0.zip, r-oldrel: mmints_0.1.0.zip
macOS binaries:	r-release (arm64): mmints_0.1.0.tgz, r-oldrel (arm64): mmints_0.1.0.tgz, r-release (x86_64): mmints_0.1.0.tgz, r-oldrel (x86_64): mmints_0.1.0.tgz

Reverse dependencies:

Reverse imports:

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Linking:

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