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()experimental - Sparse group lasso regression
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coef(<cv.corila>)stable - Extract coefficients
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predict(<cv.corila>)stable - predict (S3 method)
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fitted(<cv.corila>)stable - Fitted values
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residuals(<cv.corila>) - Residuals
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nobs(<cv.corila>) - Observation Count
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plot(<cv.corila>) - Plot Sparse Group Lasso (S3 method)
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deviance(<cv.corila>) - Deviance
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methods - List of methods for class
"cv.corila"
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multiridge()experimental - Multi-penalty ridge regression
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coef(<multiridge>)stable - Extract coefficients
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predict(<multiridge>)stable - Make predictions
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simulate_data()experimental - Data simulation
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calc_sign_prec()experimental - Precision for sign variable
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.backscale() - Inverse standardisation
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.combine_slopes() - Combine coefficients
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corila().construct_penalty_factors() - Sparse group lasso regression (without cross-validation)
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.deviance() - Deviance
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.estim_initial_coefs().estim_multiridge_coefs().estim_cor_coefs().estim_glmnet_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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predict(<corila>) - predict (S3 method)
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print(<cv.corila>) - print (S3 method)
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.residuals() - Deviance Residuals
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.set_candidates() - Candidate values
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.simulate_effects() - Simulate effects
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.simulate_predictors() - Simulate predictors
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.simulate_response() - Simulate outcome
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summary(<cv.corila>)print(<summary.cv.corila>) - Summarising sparse group lasso (S3 method)
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.type() - Name method (helper function)
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.validate_na_action().validate_family().validate_x().validate_y().validate_y_hat().validate_primary().validate_cor().validate_alpha().validate_group().validate_hyper().validate_foldid() - Validation functions