@@ -916,6 +916,7 @@ class MemaOutputSpec(AFNICommandOutputSpec):
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desc = '...' ,
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exists = True
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)
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+
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args = File (
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desc = 'Arguments file for debugging, generated if -dbArgs is set' )
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@@ -931,8 +932,32 @@ class Mema(AFNICommand):
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>>> from nipype.interfaces import afni
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>>> mema = afni.Mema()
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- >>> mema.inputs.in_files = [...]
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- ...
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+ >>> mema.inputs.sets = ['analysis_name', [[subject_1, s1_betas, s1_t, numb1, numt1], [subject2, s2_bets, s2_ts, numb2, numt2], ...]]
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+ >>> mema.inputs.max_zeros = 4
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+ >>> mema.inputs.model_outliers = True
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+ >>> mema.inputs.residual_z = True
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+ >>> mema.inputs.out_file = 'Results.BRIK'
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+
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+ >>> from nipype.interfaces import afni
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+ >>> mema = afni.Mema()
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+ >>> mema.inputs.missing_data['File1', 'File2']
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+ >>> mema.inputs.sets = ['analysis_name', [[subject_1, s1_betas, s1_ts], [subject2, s2_bets, s2_ts], ...]]
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+ >>> mema.inputs.out_file = 'Results.BRIK'
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+
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+ >>> from nipype.interfaces import afni
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+ >>> mema = afni.Mema()
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+ >>> mema.inputs.groups = ['group1', 'group2']
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+ >>> mema.inputs.sets = ['analysis1_name', [[subject_1, s1_betas, s1_ts], [subject2, s2_bets, s2_ts], ...]]
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+ >>> mema.inputs.sets = ['analysis2_name', [[subject_1, s1_betas, s1_ts], [subject2, s2_bets, s2_ts], ...]]
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+ >>> mema.inputs.n_nonzero = 18
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+ >>> mema.inputs.hktest = True
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+ >>> mema.inputs.outliers = True
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+ >>> mema.inputs.equal_variance = False
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+ >>> mema.inputs.residual_z = True
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+ >>> mema.inputs.covariates = 'CovFile.txt'
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+ >>> mema.inputs.covariates_center = 'age = 25 13 weight = 100 150'
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+ >>> mema.inputs.covariates_model = ['different', 'same']
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+ >>> mema.inputs.out_file = 'Results.BRIK'
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"""
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