Package: BLRShiny 0.1.0

BLRShiny: Interactive Document for Working with Binary Logistic Regression Analysis

An interactive document on the topic of binary logistic regression analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.

Authors:Kartikeya Bolar

BLRShiny_0.1.0.tar.gz
BLRShiny_0.1.0.zip(r-4.5)BLRShiny_0.1.0.zip(r-4.4)BLRShiny_0.1.0.zip(r-4.3)
BLRShiny_0.1.0.tgz(r-4.4-any)BLRShiny_0.1.0.tgz(r-4.3-any)
BLRShiny_0.1.0.tar.gz(r-4.5-noble)BLRShiny_0.1.0.tar.gz(r-4.4-noble)
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BLRShiny.pdf |BLRShiny.html
BLRShiny/json (API)

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

Peer review:

On CRAN:

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

1 exports 0.00 score 106 dependencies 135 downloads

Last updated 5 years agofrom:7faeed0771

Exports:BLRShiny

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071ellipsisevaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartsassscalesshapeshinysourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml