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*	Changes in islasso	*
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Version 1.6.0 (2025-07-30)
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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.

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version 1.5.1
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* Some bugs fixed.

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version 1.5.0
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* Some bugs fixed. Other S3 methods implemented.

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version 1.4.3
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* Some bugs fixed.

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version 1.4.2
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* Some bugs for binomial family fixed.

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version 1.4.1
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* Some bugs fixed.

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version 1.4.0
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* 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' have been created. The main function 'islasso.path()' allows to build the coefficient profile for a fixed sequence of lambda values.
* A new function GoF.islasso.path() allows to extract the optimal value of the tuning parameter which minimizes a fixed criterion. Available criteria are the same as in aic.islasso function.
* Some bugs fixed.

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version 1.3.1
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* Some bugs fixed.

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version 1.3.0
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* Vignette added to the package 'islasso'
* Some bugs fixed.

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version 1.2.3
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* Some bugs fixed.

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version 1.2.2
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* Some bugs fixed.

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version 1.2.1
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* Some bugs fixed.

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version 1.2.0
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* 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.
* New changes:
- prediction function includes confidence intervals for the fitted values
- step Halving with Armijo's rule has been improved.
- convergence criterion has been improved
* Some bugs fixed.

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version 1.1.0
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* New implementation of the estimating algorithm. Now islasso is much stabler and faster reducing the number of iterations to reach convergence.
* New changes:
- step Halving with Armijo's rule has been implemented.
- the algorithm includes the possibility to use the elastic-net approach defining an alpha parameter in the objective function as in glmnet package.
- the summary method includes now the degree of freedom for each covariate, and in addition it is possible to choose between t-test or z-test (only for gaussian family).
- optim.islasso has been renamed as aic.islasso the interval specification is not required now, the new  select the best tuning parameter based on the minimization of the AIC or the BIC.
- the function islasso.control has been renamed as is.control and some control parameters have been modified.
- two trace version has been implemented in the function is.control a compact version (trace=1) and a long version (trace=2).
* Some bugs fixed.