skipTrack 0.2.0

New Features

*skipTrack.fit() can now incorporate longitudinal data in X matrix. Users are no longer limited to one row of data per individual in X, but can now have one row of data per cycle if desired.

Minor improvements and fixes

*skipTrack.results() now produces a helpful error message if burnIn is less than fit length.

*Fit now sets all starting cij values to 1 which is much more logical and mixing occurs much quicker.

skipTrack 0.1.2

*Patch to align with parameter name changes from genMCMCDiag.

*No functionality changes.

skipTrack 0.1.1

• Minor edits to paper and readme based on JOSS review. No functional package changes.

skipTrack 0.1.0

skipTrack 0.0.1

• Initial CRAN submission.