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BLRShiny  

Interactive Document for Working with Binary Logistic Regression Analysis
View on CRAN: Click here


Download and install BLRShiny package within the R console
Install from CRAN:
install.packages("BLRShiny")

Install from Github:
library("remotes")
install_github("cran/BLRShiny")

Install by package version:
library("remotes")
install_version("BLRShiny", "0.1.0")



Attach the package and use:
library("BLRShiny")
Maintained by
Kartikeya Bolar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-09
Latest Update: 2019-05-09
Description:
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 .
How to cite:
Kartikeya Bolar (2019). BLRShiny: Interactive Document for Working with Binary Logistic Regression Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/BLRShiny. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
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View BLRShiny citation profile
Other R packages that BLRShiny depends, imports, suggests or enhances
Complete documentation for BLRShiny
Functions, R codes and Examples using the BLRShiny R package
Some associated functions: BLRShiny . 
Some associated R codes: BLRShiny.R .  Full BLRShiny package functions and examples
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