The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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/>.

Version: 0.1.0
Depends: R (≥ 3.0.3)
Imports: shiny, rmarkdown, dplyr, datasets, caret, e1071, rhandsontable, ggplot2
Published: 2019-05-09
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.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.

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.
Health stats visible at Monitor.