v0.0.9 (December 11, 2015)

Preproc workflow

• Added the ability to supply fieldmap images that can be used to
  unwarp distortions caused by susceptibility regions. This uses FSL's
  topup and applytopup utilities. The images you should provide
  aren't actually traditional "fieldmaps", but rather images with
  normal and reversed phase encoding directions, from which a map of
  the distortions can be computed. See the new experiment option
  fieldmap_template.

Model workflow

• Added the ability to include additional nuisance variables in the
  model. This can now include eigenvariates of deep white matter
  timeseries and the mean signal from across the whole brain. This
  involves the new experiment options wm_components and
  confound_sources. This change requires that you rerun the preproc
  workflow before running the model workflow after updating lyman.
• Made the inclusion of artifact indicator vectors in the design
  matrix optional. See the new experiment option remove_artifacts.
• Made some changes to the model summary node to use memory more
  efficiently. The model summary code should now use a similar amount
  of memory as the film_gls model fitting process.

Fixed effects workflow

• Fixed effects workflow now saves out a mean functional image that is
  the grand mean across runs.