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
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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:

Conda:

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

1.00 score 196 downloads 1 exports 106 dependencies

Last updated 6 years agofrom:7faeed0771. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winNOTEMar 22 2025
R-4.5-macNOTEMar 22 2025
R-4.5-linuxNOTEMar 22 2025
R-4.4-winNOTEMar 22 2025
R-4.4-macNOTEMar 22 2025
R-4.4-linuxNOTEMar 22 2025
R-4.3-winNOTEMar 22 2025
R-4.3-macNOTEMar 22 2025

Exports:BLRShiny

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartsassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml