Quantcast
Channel: R-bloggers
Viewing all articles
Browse latest Browse all 12094

{pmice}, an experimental package for missing data imputation in parallel using {mice} and {furrr}

$
0
0

(This article was first published on Econometrics and Free Software, and kindly contributed to R-bloggers)

Yesterday I wrote this blog post which showed how one could use {furrr} and {mice} to impute missing data in parallel, thus speeding up the process tremendously.

To make using this snippet of code easier, I quickly cobbled together an experimental package called {pmice} that you can install from Github:

devtools::install_github("b-rodrigues/pmice")

For now, it returns a list of mids objects and not a mids object like mice::mice() does, but I’ll be working on it. Contributions welcome!

If you found this blog post useful, you might want to follow me on twitter for blog post updates.

var vglnk = { key: '949efb41171ac6ec1bf7f206d57e90b8' }; (function(d, t) { var s = d.createElement(t); s.type = 'text/javascript'; s.async = true; s.src = '//cdn.viglink.com/api/vglnk.js'; var r = d.getElementsByTagName(t)[0]; r.parentNode.insertBefore(s, r); }(document, 'script'));

To leave a comment for the author, please follow the link and comment on their blog: Econometrics and Free Software.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...


Viewing all articles
Browse latest Browse all 12094

Trending Articles



<script src="https://jsc.adskeeper.com/r/s/rssing.com.1596347.js" async> </script>