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

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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'))

On CRAN:

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

1.00 score 218 downloads 1 exports 106 dependencies

Last updated 6 years agofrom:7faeed0771. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winNOTEFeb 20 2025
R-4.5-macNOTEFeb 20 2025
R-4.5-linuxNOTEFeb 20 2025
R-4.4-winNOTEFeb 20 2025
R-4.4-macNOTEFeb 20 2025
R-4.3-winNOTEFeb 20 2025
R-4.3-macNOTEFeb 20 2025

Exports:BLRShiny

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartsassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml