Multi-Response (Multivariate) Interpretable Machine Learning

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Documentation for package ‘mrIML’ version 2.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

filterRareCommon	Filter rare response variables from the data
mrBootstrap	Bootstrap mrIML model predictions
mrCoOccurNet	Generate a MrIML co-occurrence network
mrCovar	Investigate partial dependencies of a covariate for mrIML JSDMs (Joint Species Distribution Models)
mrFlashlight	Convert mrIML object into a 'flashlight' object
mrIMLperformance	Calculate general performance metrics of a mrIML model
mrIMLpredicts	Generates a multi-response predictive model
mrIML_bird_parasites_LM	An example mrIML model fit to MRFcov::Bird.parasites
mrIML_bird_parasites_RF	An example mrIML model fit to MRFcov::Bird.parasites
mrInteractions	Calculate and visualize feature interactions
mrPdPlotBootstrap	Bootstrap Partial Dependence Plots
mrPerformancePlot	Plot Model Performance Comparison
mrShapely	Generate SHAP (SHapley Additive exPlanations) Plots for Multiple Models and Responses
mrVip	Calculates and helps interpret variable importance for 'mrIML' models.
mrVipPCA	Principal Component Analysis of mrIML variable importance
readSnpsPed	Conversion to single column per locus from plink file via LEA functionality
resist_components	Calculates resistance components from a list of pairwise resistance surfaces