Neurocaps

🚀 New/Added
- New method in `CAP` class to plot radar plot of cosine similarity (`CAP.caps2radar`).
- New method in `CAP` class to save CAPs as niftis without plotting (`CAP.caps2niftis`).
- Added new parameter to `CAP.caps2surf`, `fslr_giftis_dict`, to allow CAPs statistical maps that were
converted to giftis externally, using tools such as Connectome Workbench, to be plotted. This parameter only requires
the `CAP` class to be initialized.

♻ Changed
- Minor change in merge_dicts() to make it explicitly clear that the dictionaries are returned in the order they are
provided in the list. Originally, the dictionaries were returned as a nested dictionary with sub-keys starting at
"dict_1" to represent the first dictionary given in the list. They now start at "dict_0" to represent the first
dictionary in the list. This doesn't affect the underlying functionality of the code; the sub-keys are simply numbered
to represent their original index in the provided list.

🐛 Fixes
- Allows user to change the maximum and minimum value displayed for `CAP.caps2plot` and `CAP.caps2surf`

🚀 New/Added
- More plotting kwargs and ability to just show the left and right hemisphere when plotting nodes with `CAP.caps2plot`
for "Schaefer" and "Custom" parcellations.
- Added `suffix_title` parameter to `CAP.caps2corr` and `CAP.caps2surf`.

♻ Changed
- Changed `task_title` parameter in `CAP.caps2plot` to `suffix_title`.

Recommend this version if intending to use parallel processing since it uses `joblib`, which seems to be more memory
efficient than multiprocessing.

🚀 New/Added
- Added `n_cores` parameter to `CAP.get_caps` for multiprocessing when using the silhouette or elbow method.
- More restrictions to the minimum versions allowed for dependencies.

♻ Changed
- Use joblib for pickling (replaces pickle) and multiprocessing (replaces multiprocessing).

🚀 New/Added
- Added the `linecolor` **kwargs for `CAP.caps2corr` and `CAP.caps2plot` that should have been deployed in 0.9.5.