Changes in version 0.05                         

Bug fixes

  - Fixed bug when passing a vector of options in the with argument of
    enrich methods.
  - Fixed a bug that would return wrong results if the bias function was
    passed a named vectors.

New functionality

Other improvements, updates and additions.

  - Added d,p,q and enriched_glm in the vignette.
  - Documentation updates.

                 Changes in version 0.5.0 (2026-04-29)                  

New functionality

  - Added Pmat() and Qmat() to the auxiliary functions for enriched glm
    objects. These return the P_t and Q_t matrices used in mean and
    median bias-reduction calculations, and can be evaluated at
    user-supplied regression and dispersion parameter values.

Bug fixes

  - Fixed bugs with the handling aliasing.

Other improvements, updates, and additions

  - Added new tests for existing and new functionality.

  - Various documentation updates.

  - Updated package metadata, including adding brglm2 to Suggests.

                        Changes in version 0.04                         

Bug fixes

  - p,q,d model: if data is missing then the model frame is used.
  - Fixed error message in qmodel.

New functionality

  - Added get_dmodel_function, get_pmodel_function, get_qmodel_function
  - enriched_glm can now be used to fit GLMs and get objects that are
    enriched with auxiliary functions and other components when compared
    to their glm counterparts.

Other improvements, updates and additions

  - Fixed typos in ?enrich.family.
  - Added documentation for get_dmodel_function.glm,
    get_pmodel_function.glm, get_qmodel_function.glm.

                 Changes in version 0.4.0 (2025-09-08)                  

Other improvements, updates, and additions

  - Deprecated enriched_glm() as it might lead to scoping issues. Users
    are recommended to use the call enrich(glm(...)) or glm(...) |>
    enrich().

  - Fixed documentation links, and other minor documentation
    improvements

                        Changes in version 0.3.2                        

Bug fixes

  - fixed a typo (dmu.deta -> d2mu.deta) for betareg enrichment, which
    would cause failures with get_bias_function() and other methods.

Other improvements, updates, and additions

  - Documentation fixes.
  - Added MASS in Suggests to allow for using ggplot2 in vignettes.

                 Changes in version 0.3.1 (2020-01-10)                  

Bug fixes

  - Added conditional use of SuppDists.

Other improvements, updates and additions

  - Fixed typos and spelling mistakes in documentation.
  - Added new tests for d/r/p/qmodel.

                        Changes in version 0.03                         

Bug fixes

  - Took care of aliasing in bias calculations.
  - Names of score and bias components do not get a prefix anymore.
  - Fixed a bug on argument of information function (part of the
    "auxiliary functions" enrichment option).
  - Fixed a bug when testing the simulation methods.

New functionality

  - Provide enrich capabilities for lm objects.
  - Score functions (?get_score_function) now accept contributions =
    TRUE for getting score contributions.
  - Provide the get_*_function convenience methods (e.g.
    get_score_function, get_information_function, get_bias_function).
  - Provide the dmodel, pmodel, qmodel auxiliary functions for glm
    objects, to compute d, p, q based on a supplied data frame.

Other improvements, updates and additions

  - Various codebase improvements.
  - Various documentation improvements.
  - New vignette for enriching glm objects.
  - Updated README file.

                  Changes in version 0.3 (2019-10-14)                   

New functionality

  - Added support for wedderburn family from the gnm R package.

Other improvements, updates and additions

  - Improved documentation.
  - Improved tests and added some new.

                        Changes in version 0.02                         

  - Fixed an issue with the example in ?enrich.glm.
  - Minor codebase improvements.
  - Harmonised the output of the functions in the auxiliary_functions
    component of enriched glm objects.
  - More detailed descriptions for the enrichment options for glm
    objects.
  - Included a vignette on how bias-reduction for GLMs can be
    implemented using enriched glm objects.

                  Changes in version 0.2 (2019-01-11)                   

Bug fixes

  - Fixed bug in the computation of beta regression score contributions
    from betareg objects.
  - Fixed bug with the attributes of information matrices for
    generalized linear models with fixed dispersion.
  - Fixed the row names in the information matrices for glm and betareg
    objects.

New functionality

  - get_information_function for betareg objects returns a function that
    can compute observed information matrices (by setting type =
    "observed").
  - get_information_function now returns a function that can compute the
    Cholesky decomposition of the information matrix (by setting CHOL =
    TRUE).
  - simulate methods (coming form get_simulate_function) now check for
    correct length of coefficient vector if this is specified.

Other improvements, updates and additions

  - Fixed various problems with documentation.
  - Improved tests and added some new.
  - Changed maintainer email to ioannis.kosmidis@warwick.ac.uk.

                        Changes in version 0.01                         

  - First release.

                  Changes in version 0.1 (2017-11-06)                   

Bug fixes

New functionality

  - enrich.family can return 4th derivatives of the a function and other
    characteristics of the exponential family.
  - enrich method for betareg objects (enrichment options with scores,
    information, bias and simulate).

Other improvements, updates and additions

  - Documentation updates.
  - Added vignette for enrich.family including a description of the
    exponential family.