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-any)MNLR_0.1.0.zip(r-4.6-any)MNLR_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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 253 downloads 6 mentions 1 exports 101 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE115
source / vignettesOK207
linux-releaseNOTE119
macos-releaseNOTE104
macos-oldrelNOTE92
windows-develNOTE69
windows-releaseNOTE59
windows-oldrelNOTE59
wasm-releaseOK121

Exports:MNLR

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscommonmarkcpp11data.tablediagramdigestdplyre1071evaluatefarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeModelMetricsnlmennetnumDerivotelparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartS7sassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml