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THE LOST WIKI IS MOVING! If you would like to contribute to LOST, head over to https://github.com/LOST-STATS/LOST-STATS.github.io. Or to read, go to https://lost-stats.github.io/.

Welcome to the LOST wiki!

The Library of Statistical Techniques is a publicly-editable Wiki with a goal of making it easy to execute statistical techniques in statistical software.

Each page contains a statistical technique - which may be an estimation method, a data manipulation or cleaning method, a method for presenting or visualizing results, or any of the other kinds of things that statistical software typically does.

For each of those techniques, the LOST page will contain code for performing that method in a variety of packages and languages. It may also contain information (or links) with thorough descriptions of the method, but the focus here is on implementation. How can you do it in your language of choice? If there are multiple ways, how are those ways different? Is the way you used to do it outdated, or does it do something unexpected? What's the R equivalent of that command you know about in Gretl, Matlab, Python, Stata or SAS, or vice versa?

If you are interested in contributing to LOST (anyone with experience using statistical software/languages is more than welcome!), please see the README File.