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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 |
Reference manual: | BLRShiny.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=BLRShiny to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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