enrichwith 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, updated, and additions

• Documentation fixes.

• Added MASS in Suggests to allow for using ggplot2 in vignettes.

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

enrichwith 0.3.1

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.

enrichwith 0.3

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.

enrichwith 0.2

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.

enrichwith 0.1

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.

enrichwith 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.

enrichwith 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.

enrichwith 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.

enrichwith 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.

enrichwith 0.01

• First release.