# 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