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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
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
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
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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.