Package: mmints 0.1.0.9000

Mackson Ncube

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.

Authors:Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]

mmints_0.1.0.9000.tar.gz
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mmints.pdf |mmints.html
mmints/json (API)

# Install 'mmints' in R:
install.packages('mmints', repos = c('https://mightymetrika.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mightymetrika/mmints/issues

On CRAN:

12 exports 0.82 score 55 dependencies 4 scripts

Last updated 11 days agofrom:6539445bfb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winOKSep 07 2024
R-4.5-linuxOKSep 07 2024
R-4.4-winOKSep 07 2024
R-4.4-macOKSep 07 2024
R-4.3-winOKSep 07 2024
R-4.3-macOKSep 07 2024

Exports:citationServercitationUIcsvUploadServercsvUploadUIformat_citationgenerateRunCodelist_nullpostgresServerpostgresUItext_to_listtext_to_vectorvec_null

Dependencies:base64encbitbit64blobbslibcachemclicommonmarkcpp11crayoncrosstalkDBIdigestDTevaluatefastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlazyevallifecyclelubridatemagrittrmemoisemimepkgconfigplogrpoolpromisesR6rappdirsRcpprlangrmarkdownRPostgressassshinysourcetoolstimechangetinytexvctrswithrxfunxtableyaml