ME-ICA/tedana: 0.0.6

Release Notes

We had several major changes this release, including:

• Changes PCA default component selection to MLE, with previous decision tree accessible through kundu_pca argument
• Adds verbose outputs for visualization and debugging
• Addition of tedort argument
• Bug fix for user-defined mask with poor signal

Improved documentation, logging, and issue templates also added.

With thanks to @dowdlelt, @jbteves, @KirstieJane, and @tsalo !

• Hyperlink DOIs to preferred resolver (#165) @katrinleinweber
• [REF] Replace hard-coded F-statistic thresholds with scipy.stats function call (#156) @tsalo
• [FIX] Include ignored components in ME-DN T1c time series (#125) @tsalo
• [REF] Remove unused arguments and simplify CLI (#163) @tsalo
• [DOC] Add FAQ and link to ME papers spreadsheet (#160) @tsalo
• [DOC] Improve logging (#167) @tsalo
• [FIX] Reduce user-defined mask when there is no good signal (#172) @tsalo
• [ENH] Add tedort argument to tedana workflow (#155) @tsalo
• [ENH] Split automatic dimensionality detection from decision tree in TEDPCA (#164) @tsalo
• [ENH] Add verbose outputs for pipeline walkthrough (#174) @tsalo
• [fix] update python version support in README (#182) @emdupre
• [DOC] Fix eimask logging, ste definitions in eigendecomp (#184) @dowdlelt
• [DOC] Fix arg parser (#195) @dowdlelt
• Fix broken link to code of conduct (#198) @KirstieJane
• [DOC] Add tedana development setup instructions (#197) @jbteves
• Corrects README.md to show correct conda and pip instructions (#205) @jbteves
• [FIX] Propagate TR to ref_image header (#207) @dowdlelt
• [FIX] Do not use minimum mask for OC data in tedpca (#204) @tsalo
• [ENH] Adds issue templates for bugs and discussions (#189) @jbteves
• [ENH] Normalize all the line endings (#191) @jbteves