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Changelog

islasso 1.6.1 (2025-08-17)

  • 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.

islasso 1.6.0 (2025-07-30)

CRAN release: 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.

islasso 1.5.1

CRAN release: 2023-05-15

  • Some bugs fixed.

islasso 1.5.0

CRAN release: 2023-05-08

  • Some bugs fixed.
  • Other S3 methods implemented.

islasso 1.4.3

CRAN release: 2022-03-01

  • Some bugs fixed.

islasso 1.4.2

CRAN release: 2021-12-06

  • Some bugs for binomial family fixed.

islasso 1.4.1

CRAN release: 2021-11-16

  • Some bugs fixed.

islasso 1.4.0

CRAN release: 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.

islasso 1.3.1

CRAN release: 2021-06-16

  • Some bugs fixed.

islasso 1.3.0

CRAN release: 2021-05-24

  • Vignette added to the package.
  • Some bugs fixed.

islasso 1.2.3

  • Some bugs fixed.

islasso 1.2.2

CRAN release: 2021-01-22

  • Some bugs fixed.

islasso 1.2.1

CRAN release: 2021-01-21

  • Some bugs fixed.

islasso 1.2.0

CRAN release: 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.

islasso 1.1.0

CRAN release: 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.