<tool id="linear_fascile_evaluation" name="Linear fascicle evaluation" version="0.13.0">
    <description>(LiFE) for tractography results</description>
    <requirements>
        <requirement type="package" version="0.13.0">dipy</requirement>
    </requirements>
    <command detect_errors="exit_code"><![CDATA[
python '$__tool_directory__/linear_fascile_evaluation.py'
--input_nifti1 '$input_nifti1'
--input_nifti1_files_path $'input_nifti1.files_path'
--input_nifti2'$input_nifti2'
--input_nifti2_files_path $'input_nifti2.files_path'
--input_trackvis '$input_trackvis'
--output_life_candidates '$output_life_candidates'
&>/dev/null
    ]]></command>
    <inputs>
        <param name="input_nifti1" format="nifti1" type="data" label="dRMI dataset"/>
        <param name="input_nifti2" format="nifti1" type="data" label="dRMI dataset and label map"/>
        <param name="input_trackvis" format="trackvis" type="data" label="Track Visualization Header"/>
    </inputs>
    <outputs>
        <data name="output_life_candidates" format="png" label="${tool.name}: LiFE Candidates" />
    </outputs>
    <tests>
        <test>
        </test>
    </tests>
    <help>
**What it does**

Uses a forward model that predicts the signal from each of a set of streamlines, and fits a
linear model to these simultaneous predictions for evaluation of tractography results.

-----

**Options**

    </help>
    <citations>
    </citations>
</tool>