README.Rmd

---
output: github_document
title: "README"
author: "Brantly Callaway"
date: "`r Sys.Date()`"
vignette: >
  %\VignetteIndexEntry{README}
  %\VignetteEngine{knitr::rmarkdown}
  \usepackage[utf8]{inputenc}
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

# qte <img src="man/figures/logo.png" align="right" height="139" alt="" />

The R `qte` package implements many methods used, especially in economics, to estimate quantile treatment effects.  These include the case where treatment is randomly assigned, under selection on observables, under a Difference in Differences Assumtpion.

The package is available on CRAN and can be loaded as follows
```{r, eval=FALSE}
  library(qte)
```

The following example shows how to use the `ci.qte` method in the `qte` package using data about an experimental job training program.

```{r, eval=FALSE}
data(lalonde)
 jt.cia <- ci.qte(re78 ~ treat,
   xformla=~age + education + black + hispanic + married + nodegree,
   data=lalonde.psid,
   probs=seq(0.05,0.95,0.05), se=T)
 summary(jt.cia)
```

More examples and details about other functions in the package can be found at the package's [website](http://bcallaway11.github.io/qte/)