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author | ecology |
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date | Thu, 20 Jun 2019 04:04:19 -0400 |
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<tool id="regionalgam_gls_adjusted" name="Linear regression ajusted" version="@VERSION@"> <description>for autocorrelation in the residuals</description> <macros> <import>regionalgam_macros.xml</import> </macros> <expand macro="rg_nlme_mass_requirements"/> <command detect_errors="exit_code"><![CDATA[ Rscript '$__tool_directory__/gls-adjusted.R' '$collated_index' '$ab_indices' '$output' '$output2' ]]> </command> <inputs> <expand macro="rg_collated_index"/> <expand macro="rg_ab_indices"/> </inputs> <outputs> <data format="txt" name="output" from_work_dir="mod_adjusted-summary.txt" /> <data format="rdata" name="output2" from_work_dir="mod_adjusted.rda" /> </outputs> <tests> <test> <param name="collated_index" value="s_glmmpql.tabular"/> <param name="ab_indices" value="s_data_index.tabular"/> <output name="output" file="s_gls-adju_sum.txt"/> <output name="output2" file="s_gls-adju_rda.rda" compare="sim_size" delta="100"/> </test> </tests> <help><![CDATA[ ========================== Linear regression ajusted ========================== This tool is an implementation of the gls_adjusted function from RegionalGAM package: https://github.com/RetoSchmucki/regionalGAM/ This function adjust the model to account for autocorrelation in the residuals. | **Outputs** The tool returns the linear regression model in an Rdata file. It also returns a summary of this model in txt format. ]]></help> <citations> <citation type="doi">10.1111/1365-2664.12561</citation> </citations> </tool>