nltools
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cosanlab
Python toolbox for analyzing imaging data
`Adjacency.plot_mds(n_components=3)` works for for 2-D, but 3-D no longer works. Here is the error message I'm getting.  Pretty stumped on this one. @ejolly does this work for you?
Basically, we need to add 'lassopcr' option to documentation in docstrings and also in prediction tutorial.
- [ ] Better simulator class - [ ] Clean up all tests - [x] Port to github actions - [x] Including building docs - [ ] Move joblib calls...
Current plot uses a cmap where the extreme values are white. For example:  Fix would be to allow passing a vmin, vmax, or cmap to `_viewer` brain or plot...
Hi all, I tried to use this function to make a mask, my understanding is I can put a list of centers but I got some error. The below is...
Seems strange we never implemented this. Couple of options. 1) we could swap out our pearson correlation function, with the nltools.stats.correlation, which uses pearsonr, spearmanr, and tau from scipy. Pros...
Does not appear to be correctly importing Adjacency files that are multiple directed_flat. Reading file doesn't error, but not correctly formatting data.
Since upgrading to Python 3.8 I get a cryptic error `AttributeError: ‘_io.BytesIO’ object has no attribute ‘mode’` anytime I am working with Brain_Data. I am able to load data in...
Related to #304. It looks like recent versions of nilearn now raise errors on transformed data that isn't `nsamples x nvoxels`. So whenever we run `brain.ttest(threshold_dict=...)` plotting and saving (to...
Doesn't appear to be thresholding correctly when upper or lower = 0.