<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 '$__tool_directory__/linear_fascile_evaluation.py'
--candidates '$candidates'
--output_life_candidates '$output_life_candidates'
--output_life_optimized '$output_life_optimized'
--output_error_histograms '$output_error_histograms'
--output_beta_histogram '$output_beta_histogram'
--output_spatial_errors 'output_spatial_errors'
    ]]></command>
    <inputs>
        <param name="candidates" type="select" label="Candidates">
            <option value="lr-superiorfrontal.trk" selected="true">lr-superiorfrontal.trk</option>
        </param>
    </inputs>
    <outputs>
        <data name="output_spatial_errors" format="png" label="${tool.name}: Spatial Errors" />
        <data name="output_beta_histogram" format="png" label="${tool.name}: Beta Histogram" />
        <data name="output_error_histograms" format="png" label="${tool.name}: Error Histograms" />
        <data name="output_life_optimized" format="png" label="${tool.name}: LiFE Optimized Streamlines" />
        <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>