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/>.
Version: 0.1.0 Depends: R (≥ 3.0.3) Imports: shiny, rmarkdown, dplyr, datasets, caret, e1071, rhandsontable, ggplot2 Published: 2019-05-09 DOI: 10.32614/CRAN.package.BLRShiny Author: Kartikeya Bolar Maintainer: Kartikeya Bolar <kartikeya.bolar at tapmi.edu.in> License: GPL-2 NeedsCompilation: no CRAN checks: BLRShiny results Documentation: Reference manual: BLRShiny.html , BLRShiny.pdf Downloads: Package source: BLRShiny_0.1.0.tar.gz Windows binaries: r-devel: BLRShiny_0.1.0.zip, r-release: BLRShiny_0.1.0.zip, r-oldrel: BLRShiny_0.1.0.zip macOS binaries: r-release (arm64): BLRShiny_0.1.0.tgz, r-oldrel (arm64): BLRShiny_0.1.0.tgz, r-release (x86_64): BLRShiny_0.1.0.tgz, r-oldrel (x86_64): BLRShiny_0.1.0.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=BLRShiny to link to this page.
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