class_docstr: Calculates Interclass Correlation Coefficient (3,1) as defined in
  P. E. Shrout & Joseph L. Fleiss (1979). "Intraclass Correlations: Uses in
  Assessing Rater Reliability". Psychological Bulletin 86 (2): 420-428. This
  particular implementation is aimed at relaibility (test-retest) studies.
class_docstr_tok: ["Calculates","Interclass","Correlation","Coefficient","(","3,1",")","as","defined","in","P.","E.","Shrout","&","Joseph","L.","Fleiss","(","1979",")",".","``","Intraclass","Correlations",":","Uses","in","Assessing","Rater","Reliability","''",".","Psychological","Bulletin","86","(","2",")",":","420-428",".","This","particular","implementation","is","aimed","at","relaibility","(","test-retest",")","studies","."]
code: def _list_outputs(self):
      outputs = self._outputs().get()
      outputs["icc_map"] = os.path.abspath("icc_map.nii")
      outputs["session_var_map"] = os.path.abspath(
          "session_var_map.nii"
      )
      outputs["subject_var_map"] = os.path.abspath(
          "subject_var_map.nii"
      )
      return outputs
  
file_path: nipype/nipype/algorithms/icc.py
imports: import os
  from functools import lru_cache
  import numpy
  from numpy import ones, kron, mean, eye, hstack, tile
  from numpy.linalg import pinv
  import nibabel
  from ..interfaces.base import BaseInterfaceInputSpec, TraitedSpec, BaseInterface, traits, File
label_desc: Use image node_id 2 for calling the ICC obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs