* Host code on pypi. Now you can install with pip install dart-id
* Switched from pystan to cmdstan binaries. This obviates bugs and installation troubles associated with pystan but now relies on prebuilt cmdstan binaries for the model. Advanced users modifying the .stan model files will need to build their own binaries (or contact the authors for help doing so)
* This allows users to also recover parameters from a STAN run that fails to reach an optima given the gradient descent parameters -- something which was not possible with pystan
* Save protein FDRs from the Fido protein inference algorithm in protein_fdr.txt, along with attaching razor protein FDRs to PSMs in the input data
* Various robustness fixes that are more resistant to formatting changes in the configuration files
* figures.html output re-done, and plotting errors fixed
* Renamed output columns to be more descriptive, also output more diagnostic columns
* Provide detailed conda environment files for installation/usage from source