[ENH] adapt group level analysis to work with BIDS stats model

[Remi-Gau]

• dataset level GLM directories will be based on the Node.Name (if different from the default "dataset_level") and not on the BIDS stats model name (closes [ENH]: RFX folder naming #518)
• can choose which dataset level Node to run analysis on as an argument in bidsRFX
• better BIDS but not yet complete implementation of BIDS stats model at the dataset level
  • only stats model that get contrast from a subject level are implemented for now and perform a group average (one sample t-tests) are supported for now
    • assumes that dataset level nodes have GroupBy == 'contrast' and Model.X = 1

[codecov]

Codecov Report

Merging #581 (ad08760) into dev (e775165) will increase coverage by 1.85%.
The diff coverage is 87.50%.

@@            Coverage Diff             @@
##              dev     #581      +/-   ##
==========================================
+ Coverage   71.91%   73.76%   +1.85%     
==========================================
  Files         191      197       +6     
  Lines        4657     4738      +81     
==========================================
+ Hits         3349     3495     +146     
+ Misses       1308     1243      -65     

Flag	Coverage Δ
unittests	73.76% <87.50%> (+1.85%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
src/batches/stats/setBatchGroupLevelResults.m	0.00% <0.00%> (ø)
src/batches/stats/setBatchSubjectLevelGLMSpec.m	91.95% <ø> (-0.44%)	⬇️
src/subject_level/specifyContrasts.m	80.00% <ø> (+0.60%)	⬆️
src/workflows/stats/bidsResults.m	49.48% <0.00%> (-0.52%)	⬇️
src/bids_model/checkContrast.m	38.46% <38.46%> (ø)
src/bids_model/getSourceNode.m	83.33% <83.33%> (ø)
src/batches/stats/setBatchFactorialDesign.m	90.90% <87.93%> (+71.30%)	⬆️
src/workflows/stats/bidsRFX.m	93.47% <88.46%> (+34.01%)	⬆️
src/bids_model/getContrastsList.m	96.00% <96.00%> (ø)
src/bids_model/getDummyContrastsList.m	96.00% <96.00%> (ø)
... and 10 more

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