# kpodclustr

An R package for implementing $k$-POD, a method for clustering partially observed data

(**Note:** Python implementation by Ishaan Radia and Eric C. Chi can be found at https://pypi.org/project/kPOD/.)

### About the package

The ${\tt kpodclustr}$ package contains R code for implementing $k$-POD, a method for $k$-means clustering on partially observed data.

### Requirements

You’ll need R to use this package. If you don’t already have R, you can download it at the following links for Mac OS X or Windows. We also highly recommend the RStudio IDE.

### Installation

You can install the package by typing the following in the R console.

```
install.packages("kpodclustr")
```

### Documentation

After installation and loading the package in R with `library(kpodclustr)`

, you can browse the documentation for function usage and examples via the help pages with `help(kpod)`

.

The package manual and source files can also be found on CRAN.

### Citation

To cite ${\tt kpodclustr}$ in publications, please use `citation('kpodclustr')`

or the following.

Jocelyn T. Chi, Eric C. Chi, and Richard G. Baraniuk, “$k$-POD: A Method for $k$-Means Clustering of Missing Data,”

The American Statistician, vol. 70, iss. 1, pp. 91-99, 2016.

A BibTeX entry for LaTeX users is

```
@ARTICLE{ChiChiBaraniuk2016,
author = {Jocelyn T. Chi, Eric C. Chi, and Richard G. Baraniuk},
title = {$k$-POD: A Method for $k$-Means Clustering of Missing Data},
journal = {The American Statistician},
year = {2016},
volume = {70},
pages = {91-99},
doi = {10.1080/00031305.2015.1086685},
issue = {1},
url = {http://www.tandfonline.com/doi/abs/10.1080/00031305.2015.1086685?journalCode=utas20&}
}
```