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README.Rmd
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---
output:
md_document:
variant: markdown_github
---
## :warning: :warning: :warning: The project is shelved and archived :warning: :warning: :warning:
Since the project has been stalled for more than a year, it has been archived and won't be maintained.
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# estudy2 <img src="man/figures/logo.png" align="right" width="120" />
[![Travis-CI Build Status](https://api.travis-ci.org/irudnyts/estudy2.svg?branch=master)](https://api.travis-ci.org/irudnyts/estudy2.svg?branch=master)
[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/irudnyts/estudy2?branch=master&svg=true)](https://ci.appveyor.com/project/irudnyts/estudy2)
[![CRAN status](https://www.r-pkg.org/badges/version/estudy2)](https://CRAN.R-project.org/package=estudy2)
[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/grand-total/estudy2?color=brightgreen)](https://cranlogs.r-pkg.org/badges/grand-total/estudy2?color=brightgreen)
## Overview
An implementation of a most commonly used event study methodology,
including both parametric and nonparametric tests. It contains variety
aspects of the rate of return estimation (the core calculation is done in
C++), as well as three classical market models: mean adjusted returns,
market adjusted returns and single-index market models. There are 6
parametric and 6 nonparametric tests provided, which examine
cross-sectional daily abnormal return (see the documentation of the
functions for more information). Furthermore, tests for the cumulative
abnormal returns are included.
## Installation
To install a current stable release from CRAN use:
```{r, eval=FALSE}
install.packages("estudy2")
```
To install the development version of estudy2 use:
```{r, eval=FALSE}
# install.packages("devtools")
# library("devtools")
devtools::install_github("irudnyts/estudy2")
```
## Demo
The package is equipped with a demonstration Shiny app that can be run locally with:
```{r, eval=FALSE}
library("estudy2")
run_app()
```
Otherwise, one can explore the deployed version using this [link](https://irudnyts.shinyapps.io/estudy2/).