Package index
Functions
Functions for preparing the data, fitting regressions, selecting best models, and plotting results
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PCOload()plot(<regions_pco_load>) - Calculate PCO loadings
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PCOselect()plot(<regions_pco_select>)summary(<regions_pco_select>) - Select PCO scores
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calcBPvar() - Calculate variability of breakpoints
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calcmodel() - Calculate results of a single segmented regression model
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calcregions()addregions()summary(<regions_results>)ncombos() - Fit segmented regression models for all combinations of breakpoints
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modelperf() - Assess model performance
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modelselect() - Select the best models
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modelsupport() - Evaluate model support
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plot(<regions_pco>) - Plot PCO axes
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plotsegreg() - Plot a segmented regression model
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plotvertmap() - Plot a vertebra map
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simregions()plot(<regions_sim>) - Simulate regions data
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process_measurements() - Process vertebra measurements
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subsample() - Subsample a dataset
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svdPCO() - Calculate PCO (principal co-ordinates analysis) based on SVD