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:Kartikeya Bolar

MNLR_0.1.0.tar.gz
MNLR_0.1.0.zip(r-4.7)MNLR_0.1.0.zip(r-4.6)MNLR_0.1.0.zip(r-4.5)
MNLR_0.1.0.tgz(r-4.6-any)MNLR_0.1.0.tgz(r-4.5-any)
MNLR_0.1.0.tar.gz(r-4.7-any)MNLR_0.1.0.tar.gz(r-4.6-any)
MNLR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MNLR/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 1 scripts 183 downloads 6 mentions 1 exports 101 dependencies

Last updated from:10ceaecedc. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE131
source / vignettesOK194
linux-release-x86_64NOTE127
macos-release-arm64NOTE78
macos-oldrel-arm64NOTE83
windows-develNOTE66
windows-releaseNOTE79
windows-oldrelNOTE70
wasm-releaseOK129

Exports:MNLR

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscommonmarkcpp11data.tablediagramdigestdplyre1071evaluatefarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeModelMetricsnlmennetnumDerivotelparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartS7sassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml