- Fixed bug in the computation of beta regression score contributions from
`betareg`

obejcts - 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

`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

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

`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)

- Documentation updates
- Added vignette for
`enrich.family`

including a description of the exponential family

- 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

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

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

- 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

- Fixed typos in
`?enrich.family`

- Added documentation for
`get_dmodel_function.glm`

,`get_pmodel_function.glm`

,`get_qmodel_function.glm`

- 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

- 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

- Various codebase improvements
- Various documentation improvements
- New vignette for enriching
`glm`

objects - Updated README file

- 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

- First release