fix+enh: support for Bayesian spm.ModelEstimate, add write_residuals for Classical

[mgxd]

Fixes #2029 + #1786 .

Changes proposed in this pull request

• FIX: inputs.flags is now a dictionary and works as intended
• ENH: inputs.write_residuals is a boolean that will write create an image for each residual
• ENH: supports Bayesian estimation outputs

[codecov-io]

Codecov Report

Merging #2030 into master will decrease coverage by <.01%.
The diff coverage is 74.28%.

@@            Coverage Diff             @@
##           master    #2030      +/-   ##
==========================================
- Coverage   72.19%   72.19%   -0.01%     
==========================================
  Files        1132     1132              
  Lines       57032    57037       +5     
  Branches     8167     8172       +5     
==========================================
+ Hits        41175    41176       +1     
- Misses      14572    14576       +4     
  Partials     1285     1285

Flag	Coverage Δ
#smoketests	72.19% <74.28%> (-0.01%)	⬇️
#unittests	69.79% <40%> (ø)	⬆️

Impacted Files	Coverage Δ
...pe/interfaces/spm/tests/test_auto_EstimateModel.py	85.71% <100%> (ø)	⬆️
nipype/interfaces/spm/model.py	71.11% <73.52%> (-0.63%)	⬇️

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[mgxd]

not ready for merge yet - addressing #1786 also

EDIT: all set.