with argument of enrich methods.bias function was passed a named vectors.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.Added new tests for existing and new functionality.
Various documentation updates.
Updated package metadata, including adding brglm2 to Suggests.
get_dmodel_function, get_pmodel_function, get_qmodel_functionenriched_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.?enrich.family.get_dmodel_function.glm,
get_pmodel_function.glm, get_qmodel_function.glm.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
dmu.deta -> d2mu.deta) for betareg enrichment,
which would cause failures with get_bias_function() and other
methods.SuppDists.lm objects.contributions = TRUE for getting score contributions.glm objects.wedderburn family from the gnm R package.glm objects.glm objects.glm objects.betareg objects.glm and betareg objects.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.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).enrich.family including a description of the exponential family.