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relax.islasso(), which allows fitting a relaxed islasso model by
selecting variables to remain unpenalized. Variables can be specified either by
name or by index, or automatically selected according to a significance level (alpha).
This extension provides additional flexibility in post-selection inference.roxygen2, with substantial updates to usage examples and descriptions.ggplot2 framework for consistent and modern graphics.aic.islasso() function the available methods are "AIC", "BIC", "AICc", "eBIC", "GCV", "GIC".islasso.path created. The main function islasso.path() builds the coefficient profile for a fixed sequence of lambda values.GoF.islasso.path() extracts the optimal tuning parameter minimizing a fixed criterion. Available criteria are the same as in aic.islasso().alpha parameter in the objective function (as in glmnet).optim.islasso renamed to aic.islasso; interval specification no longer required.islasso.control renamed to is.control; control parameters modified.is.control: compact (trace = 1) and verbose (trace = 2).Any scripts or data that you put into this service are public.
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