tomliptrot/predictshine: Interactive Predictions in R with Shiny

The predictshine package allows users to create interactive shiny based web-apps to make predictions about individuals. its main function predictshine() works similarly to the predict() function. First the user creates a statisticical model, then calls predictshine() to bring up a browser based interace to predict the dependenet variable based on changes to the independent variable. Currently, methods are implemented for linear regressions, logistic regressions and cox proportional hazards models.

Getting started

Package details

Maintainer
LicenseWhat license is it under?
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tomliptrot/predictshine")
tomliptrot/predictshine documentation built on May 31, 2019, 6:18 p.m.