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README.Rmd
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README.Rmd
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---
output: github_document
---
```{r setup, echo=FALSE}
knitr::opts_chunk$set(collapse = TRUE, comment = '#>')
```
# R package _pyinit_
<!-- begin badges -->
[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/pyinit)](https://CRAN.R-project.org/package=pyinit)
```{r, results='asis', echo=FALSE, eval=TRUE}
branch_name <- Sys.getenv('GIT_BRANCH', '')
if (nchar(branch_name) == 0L) {
branch_name <- tryCatch(system('git rev-parse --abbrev-ref HEAD', intern = TRUE),
error = function (e) { warning("error: ", as.character(e)); return('master') },
warning = function (w) { warning("warning: ", as.character(w)); return('master') })
}
cat(sprintf('[![Build Status](https://www.travis-ci.com/github/dakep/pyinit.svg?branch=%s)](https://travis-ci.com/dakep/pyinit)',
branch_name))
```
<!-- end badges -->
An R package implementing the Pena-Yohai strategy (Pena & Yohai, 1999) to obtain initial estimators for robust S-Estimators of Regression.
## References
Pena, D., & Yohai, V.. (1999). A Fast Procedure for Outlier Diagnostics in Large Regression Problems.
_Journal of the American Statistical Association_, 94(446), 434-445. (http://doi.org/10.2307/2670164)