Changes in version 1.6.1 (2025-11-14) - Created GitHub page and website. - Created introductory vignette. - Fortran routines updated and speeded up (~2x). - Manuals updated. - Added new function 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. - Some bugs fixed. Changes in version 1.6.0 (2025-07-31) Performance & Refactoring - Core computational routines have been cleaned up, and some bugs have been fixed. - Legacy R routines have been revised, cleaned, and commented. Minor inconsistencies have been addressed. Documentation - Help files and function manuals are now fully managed via roxygen2, with substantial updates to usage examples and descriptions. Visualization - All plotting functions have been refactored to use the ggplot2 framework for consistent and modern graphics. User Experience - A custom ASCII startup banner has been added on package attach, providing a welcoming and informative message. Changes in version 1.5.1 (2023-05-15) - Some bugs fixed. Changes in version 1.5.0 (2023-05-08) - Some bugs fixed. - Other S3 methods implemented. Changes in version 1.4.3 (2022-03-01) - Some bugs fixed. Changes in version 1.4.2 (2021-12-06) - Some bugs for binomial family fixed. Changes in version 1.4.1 (2021-11-16) - Some bugs fixed. Changes in version 1.4.0 (2021-10-15) - New optimization algorithm for the 'islasso' method. The algorithm is now stable for all the implemented distributions. - In aic.islasso() function the available methods are "AIC", "BIC", "AICc", "eBIC", "GCV", "GIC". - New class of functions named islasso.path created. The main function islasso.path() builds the coefficient profile for a fixed sequence of lambda values. - New function GoF.islasso.path() extracts the optimal tuning parameter minimizing a fixed criterion. Available criteria are the same as in aic.islasso(). - Some bugs fixed. Changes in version 1.3.1 (2021-06-16) - Some bugs fixed. Changes in version 1.3.0 (2021-05-24) - Vignette added to the package. - Some bugs fixed. Changes in version 1.2.3 - Some bugs fixed. Changes in version 1.2.2 (2021-01-22) - Some bugs fixed. Changes in version 1.2.1 (2021-01-21) - Some bugs fixed. Changes in version 1.2.0 (2021-01-21) - New implementation of the estimating algorithm. Now islasso is much stabler and faster. - New function: general linear hypotheses for linear combinations of the regression coefficients, including confidence intervals. - Prediction function includes confidence intervals for the fitted values. - Step halving with Armijo's rule improved. - Convergence criterion improved. - Some bugs fixed. Changes in version 1.1.0 (2019-06-25) - New implementation of the estimating algorithm. Now islasso is much stabler and faster, reducing the number of iterations to reach convergence. - Step halving with Armijo's rule implemented. - Elastic-net approach added via alpha parameter in the objective function (as in glmnet). - Summary method now includes degrees of freedom for each covariate, with choice between t-test or z-test (only for Gaussian family). - optim.islasso renamed to aic.islasso; interval specification no longer required. - islasso.control renamed to is.control; control parameters modified. - Two trace versions implemented in is.control: compact (trace = 1) and verbose (trace = 2). - Some bugs fixed.