I just released R and Python implementations of Angle based Joint and Individual Variation Explained (AJIVE). I recently started working on AJIVE for my thesis and releasing an open source package is one of my goals for my PhD. For the code see:
Both packages are currently a little rough (need more examples, more testing, cleaner code, fewer typos, etc), but they will improve with time and as I/other people use them. If you use one of these packages I encourage you to send me critical feedback. Right now the biggest areas in need of improvement are:
- More data analysis examples showing how AJIVE can be used.
- More testing to squash bugs I haven’t found.
- Better documentation – both of the code and explaining the AJIVE procedure.
It feels wrong putting something out there that is not yet polished, but I figured it’s better to get something that works out there and improve it than to spend the rest of the summer perfecting it instead of writing my thesis (i.e. don’t let the perfect be the enemy of the good).
I learned a lot from building these packages. This next post has some thoughts and advice about releasing software packages – particularly for other graduate students. I will (hopefully soon) put up a few posts discussing how AJIVE works and showing some data analysis examples.