Package index
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corila-package - Sparse modelling with grouped and correlated features allowing for privileged information
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cv.corila() - Sparse group lasso regression
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coef(<cv.corila>) - Extract coefficients
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predict(<cv.corila>) - predict (S3 method)
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print(<cv.corila>) - print (S3 method)
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multiridge() - Multi-penalty ridge regression
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coef(<multiridge>) - Extract coefficients
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predict(<multiridge>) - Make predictions
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calc_sign_prec() - Precision for sign variable
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corila() - Sparse group lasso regression (without cross-validation)
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.assert() - Assertions
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.backscale() - Inverse standardisation
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.combine_slopes() - Combine coefficients
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.deviance() - Deviance
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.estim_initial_coefs() - Initial coefficients
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.expand_auxiliary() - Expand auxiliary features
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.folds() - Fold identifiers
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.forescale() - Standardisation
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.is_adjacent() - Adjacency indicator
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.mean_function() - Mean function
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.set_candidates() - Candidate values
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.simulate_outcome() - Simulate outcome
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.type() - Name method (helper function)
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.validate() - Argument check
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predict(<corila>) - predict (S3 method)
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print(<cv.corila>) - print (S3 method)
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simulate() - Data simulation
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summary(<cv.corila>)print(<summary.cv.corila>) - Summarising sparse group lasso (S3 method)