Package: BLRShiny2 0.1.0

BLRShiny2: 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

BLRShiny2_0.1.0.tar.gz
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BLRShiny2.pdf |BLRShiny2.html✨
BLRShiny2/json (API)

# Install 'BLRShiny2' in R:
install.packages('BLRShiny2', 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.

1.00 score 201 downloads 1 exports 105 dependencies

Last updated 4 years agofrom:5ec9ebde0d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 27 2024
R-4.5-winNOTESep 27 2024
R-4.5-linuxNOTESep 27 2024
R-4.4-winNOTESep 27 2024
R-4.4-macNOTESep 27 2024
R-4.3-winNOTESep 27 2024
R-4.3-macNOTESep 27 2024

Exports:BLRShiny2

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartsassscalesshapeshinysourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml