Changes in version 1.1.8 (2025-09-19)                  

    o   Add extra compiler flag for Armadillo version >= 15.0.0-1.

                 Changes in version 1.1.7 (2025-02-23)                  

    o   Fix bug in test.

                 Changes in version 1.1.6 (2024-12-02)                  

    o   Change maintainer email address.

                 Changes in version 1.1.5 (2023-03-22)                  

    o   Remove dependency on speedglm as this package will be removed
	from CRAN on 31st March 2023.

                 Changes in version 1.1.4 (2023-01-30)                  

    o   Change C++ standard from C++14 to C++17 (default for R 4.3.0).

                 Changes in version 1.1.3 (2022-05-06)                  

    o   Fix bug with ifelse and NULL when computing GLM penalty weights
	for a design matrix with full rank (#7).

                 Changes in version 1.1.2 (2021-04-18)                  

    o   Add rmarkdown to the Suggests field in the DESCRIPTION file to
	avoid problems with knitr version >= 1.32.

                 Changes in version 1.1.1 (2021-03-28)                  

    o   Remove 'LazyData' from DESCRIPTION file as no data directory is
	present.

                 Changes in version 1.1.0 (2021-03-12)                  

Major changes

    o   Only apply ridge penalty to relevant predictors when
	determining GLM penalty weights.

    o   Correctly determine if the design matrix has full rank.

    o   Optimal values of lambda, in examples and vignette, are
	re-determined after changes in computation of GLM penalty
	weights.

    o   Use C++14 (instead of C++11) which requires R version 3.4 or
	higher.

Minor changes:

    o   glmsmurf: Check that factors have at least two levels.

    o   Update Devriendt et al. (2021) reference.

                 Changes in version 1.0.7 (2020-11-24)                  

Changes in 'R'-code:

    o   plot_lambda: Properly check whether the object x of class
	glmsmurf contains components related to the selection of the
	sparsity parameter lambda.

    o   Use named families for glmnet whenever possible as this is
	faster.

                 Changes in version 1.0.6 (2020-05-17)                  

Changes in 'R'-code:

    o   Require at least version 4.0 of glmnet as this allows for more
	families to be used.

Changes in documentation:

    o   plot.glmsmurf, plot_reest.glmsmurf and plot_lambda.glmsmurf:
	Link to plot.default instead of plot (graphics) to avoid
	warnings on R-4.0.0.

                 Changes in version 1.0.5 (2020-03-19)                  

Changes in 'R'-code:

    o   Use numerical tolerance that is also suitable on platforms
	without a long double.

    o   Use five-fold instead of two-fold cross-validation in tests.

Miscellaneous changes:

    o   Use rent dataset from catdata again as this package will no
	longer be archived.

    o   Use default date format for vignette date.

                 Changes in version 1.0.4 (2020-02-12)                  

Changes in 'R'-code:

    o   Adapt test for input for prior weights to catch multiple
	warnings.

Documentation changes:

    o   Use only one core to select the optimal value of lambda in the
	example of plot_lambda.

                 Changes in version 1.0.3 (2020-02-07)                  

Changes in 'R'-code:

    o   Add extra tests for proximal operators, number of
	cross-validation folds and prior weights.

Miscellaneous changes:

    o   Add rent dataset from catdata as this package is scheduled to
	be archived on CRAN on 14 February 2020.

    o   Correct README to display correct pipeline status on GitLab.

                 Changes in version 1.0.2 (2019-11-25)                  

Changes in 'R'-code:

    o   Select first element of class(obj) when obj might be a matrix
	object as matrix objects will also inherit from class array in
	R 4.0.0 (and hence class(obj) will be of length > 1).

    o   Add an extra test for the output of a glmsmurf object where a
	Graph-Guided Fused Lasso is used.

Documentation changes:

    o   Update to roxygen2 version 7.0.0.

    o   Add empty first line to Rent_example2.R to avoid problems with
	roxygen2 version 7.0.0.

    o   Move example files from /inst to /inst/examples.

                 Changes in version 1.0.1 (2019-05-11)                  

Changes in 'R'-code:

    o   glmsmurf: Improve handling of coefficient names.

Documentation changes:

    o   plot_lambda: Replace \dontrun by \donttest as requested by
	CRAN.

                 Changes in version 1.0.0 (2018-12-09)                  

Changes in 'R'-code:

    o   p: change order of group and refcat arguments.

    o   glmsmurf: catch errors when computing the maximum value of
	lambda (#2).

    o   Fix bug in standardization when a continuous predictor is
	penalized with a Lasso or Group Lasso penalty (#4).

Documentation changes:

    o   Move examples for S3 methods into example for glmsmurf.

Miscellaneous changes:

    o   Remove maintainer field in DESCRIPTION as it is already set
	using Authors@R.

    o   Change GitLab URL in README.

    o   Update Devriendt et al. (2018) reference.

    o   Add reference to Devriendt et al. (2018) in DESCRIPTION.

    o   First release on CRAN.

                        Changes in version 0.4.1                        

    o   First public release on GitLab.

                        Changes in version 0.4.0                        

Changes in 'R'-code:

    o   glmsmurf: Use "cv1se" to indicate selection of lambda using
	cross-validation with the one standard error rule. E.g.
	"cv.dev.1se" is renamed to "cv1se.dev".

Changes in documentation:

    o   glmsmurf: Add note that selected value of lambda for
	out-of-sample selection and cross-validation is not (always)
	deterministic.

    o   General documentation updates.

Miscellaneous changes:

    o   Add continuous integration (CI) on GitLab.

    o   Add tests for plot, plot_lambda and summary functions.

    o   Add tests for elements of glmsmurf-class related to selection
	of lambda.

    o   General vignette update.

    o   Add LICENSE file.

                        Changes in version 0.3.0                        

    o   First release on GitLab.