Package: MNLR 0.1.0
MNLR: Interactive Shiny Presentation for Working with Multinomial Logistic Regression
An interactive presentation on the topic of Multinomial Logistic Regression. It is helpful to those who want to learn Multinomial Logistic Regression quickly and get a hands on experience. The presentation has a template for solving problems on Multinomial Logistic Regression. Runtime examples are provided in the package function as well as at <https://jarvisatharva.shinyapps.io/MultinomPresentation>.
Authors:
MNLR_0.1.0.tar.gz
MNLR_0.1.0.zip(r-4.5)MNLR_0.1.0.zip(r-4.4)MNLR_0.1.0.zip(r-4.3)
MNLR_0.1.0.tgz(r-4.4-any)MNLR_0.1.0.tgz(r-4.3-any)
MNLR_0.1.0.tar.gz(r-4.5-noble)MNLR_0.1.0.tar.gz(r-4.4-noble)
MNLR_0.1.0.tgz(r-4.4-emscripten)MNLR_0.1.0.tgz(r-4.3-emscripten)
MNLR.pdf |MNLR.html✨
MNLR/json (API)
# Install 'MNLR' in R: |
install.packages('MNLR', repos = c('https://kartikeyabolar.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:10ceaecedc. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | NOTE | Oct 29 2024 |
R-4.5-linux | NOTE | Oct 29 2024 |
R-4.4-win | NOTE | Oct 29 2024 |
R-4.4-mac | NOTE | Oct 29 2024 |
R-4.3-win | NOTE | Oct 29 2024 |
R-4.3-mac | NOTE | Oct 29 2024 |
Exports:MNLR
Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartsassscalesshapeshinysourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Launch MNLR Interface | MNLR |