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News for Package 'gamboostLSS'
Changes in gamboostLSS version 2.1-0 (2025-02-14)
User-visible changes
- Added new family - DirichletLSSfor Dirichlet regression models (implemented by Michael Balzer)
Minor changes:
- Improved error messages for families with censored response. 
Changes in gamboostLSS version 2.0-7 (2023-03-09)
Bug-fixes
- Fixed minor bug of argument mismatch in internal S3 function - get_qfun.
- Updated ‘inst/CITATION’ file to reflect current guidance on how to cite in packages. 
Changes in gamboostLSS version 2.0-6 (2022-05-05)
Bug-fixes
- Fixed minor bug in - cvrisk.
- Fixed minor bug with out-of-bag risk for non-cyclical fitting. 
Changes in gamboostLSS version 2.0-5 (2021-01-20)
Miscellaneous
- Added www and a / after the URLs to make CRAN happy. 
Changes in gamboostLSS version 2.0-4 (2021-01-20)
Miscellaneous
- Changed http to https to make CRAN happy, hopefully finally. 
Changes in gamboostLSS version 2.0-3 (2021-01-20)
Miscellaneous
- Minor changes to make CRAN happy. 
Changes in gamboostLSS version 2.0-2 (2021-01-19)
Bug-fixes
- Initialize - combined_riskin- mboostLSS_fitto avoid writing (and overwriting) the combined risk in the global environment. Closes issue #49.
- Fixed - stabsel.mboostLSSfor models fitted with FDboostLSS. Closes issue #51.
- Code in ‘man/families.Rd’ failed. Closes issue #53. 
- predintwas not working when multiple variables were included within a single baselearner. Closes issue #55.
- Fixed CRAN checks regarding - all.equalby adding- check.environment = FALSE.
Changes in gamboostLSS version 2.0-1 (2018-06-14)
Miscellaneous
- Export plot functions, streamlined interface of cvrisk and updated manuals. Closes issue #46. 
- Export - predict.mboostLSSto make betaboost happy.
- Updated reference for Thomas et al. Closes issues #47. 
Changes in gamboostLSS version 2.0-0 (2017-05-05)
User-visible changes
- Added new fitting algorithm which can be used via the argument - method:-  method = "cyclic"is the standard approach which was also used previously.
-  method = "noncyclic"provides a new non-cyclical algorithm.
 - The - "noncyclic"method allow faster cross-validation and better results for stability selection (see below). For details see- Thomas, J., Mayr, A., Bischl, B., Schmid, M., Smith, A., and Hofner, B. (2017), Gradient boosting for distributional regression - faster tuning and improved variable selection via noncyclical updates. Statistics and Computing. Online First. DOI 10.1007/s11222-017-9754-6 
 (Preliminary version: https://arxiv.org/abs/1611.10171).
-  
- Stability selection ( - stabsel) implemented for- gamboostLSSmodels.
- Models can now be fitted with zero steps (i.e., models containing only the offset). This change was mainly realized with the release of mboost 2.8-0. This closes issue #22. 
- The - as.familiesinterface to incorporate gamlss distributions for- gamboostLSSmodels was adapted to allow for other link functions.
- Added option - stabilization = "L2"to use the average L2 norm of the negative gradient to make the updates for the different distribution parameters comparable.
Bug-fixes
- Fixed - as.families("BB")and- as.families("BI"), which is actually an mboost family. Closes issue #12.
- Fixed - as.familiesfor 4-parametric- "Mixed"-type families (e.g.- as.families("BEOI")and- as.families("BEINF")). Closes issue #28.
Miscellaneous
- Added Janek Thomas as new author. 
- Updated ‘inst/CITATION’ due to release of JSS tutorial paper and added new noncyclical fitting paper (also to manuals). The latter closes issue #27. 
- Updated URL in ‘DESCRIPTION’. 
- Adapt - mboostLSS_fit()such that it can be called by- FDboost::FDboostLSS().
Changes in gamboostLSS version 1.2-1 (2016-03-11)
User-visible changes
- Speed up computations by using - response(fitted())instead of- fitted(, type = response)as the latter uses- predict(). Closes issue #5.
- Improved output of - print.mboostLSS()and- summary.mboostLSS(). Closes issue #7.
- Added - gamboostLSS_intern()to make FDboost happy. Caution: Do not use this function.
Miscellaneous
- Fixed ‘inst/CITATION’. 
Bug-fixes
- Fixed tests for stabilization. 
- Fixed bug in - cvrisk.mboostLSS()which occurred if- familieswasn't explicitly specified when fitting the model. Closes #9.
Changes in gamboostLSS version 1.2-0 (2015-08-19)
User-visible changes
- New interface: Stabilization of negative gradient is now specified via families, e.g., - GaussianLSS(stabilization = "MAD"). Using- options(gamboostLSS_stab_ngrad = TRUE)is still supported for backward compatibility but discouraged.
- Added - weighted.medianwhich is used in- "MAD"stabilization (see bugfixes).
- Added preliminary version of the tutorial paper as vignette, which is now available as - vignette("gamboostLSS_Tutorial", package = "gamboostLSS").
- Added - summaryfunction (request #2).
Miscellaneous
- Added preliminary version of tutorial paper as reference. 
Bug-fixes
- Improve stored - calls (closes #3).
- Use - weighted.medianto compute MAD when negative gradients are stabilized.
- Fixed handling of gamlss.dist families with - type = "Mixed".
- Fixed a bug in - as.familieswith truncated- families(which can be obtained using the package gamlss.tr).
- The internal helper - get_qfunis now a generic function.
- Adhere to CRAN policies regarding import of base packages (closes #1). 
Changes in gamboostLSS version 1.1-3 (2015-01-12)
Miscellaneous
- Changed plain text ‘NEWS’ to ‘inst/NEWS.Rd’ 
Bug-fixes
- Changes in ‘inst/CITATION’ to make CRAN happy: Citations can now be extracted without the need to install the package. 
- Corrected - indiadata set:
 stunting ranged from -600 to 600 but should range from -6 to 6
- Fixed unstated dependencies 
- Changed - requireto- requireNamespaceand added- gamlss.dist::where necessary
- Fixed bug in - selected.mboostLSS
-  predict()returned a vector instead of a matrix
-  factors were coerced tocharacters inpredint()
Changes in gamboostLSS version 1.1-2 (2014-06-25)
Miscellaneous
- added survival to suggests and load it in tests to reflect recent changes in mboost 
- removed the generic function - risk()as this function is now defined in mboost
Bug-fixes
- check if response is correct for the - familybefore the- offsetis computed
Changes in gamboostLSS version 1.1-1 (2014-06-16)
Miscellaneous
- re-added tests 
- changed - \dontrunto- \donttestin examples
Changes in gamboostLSS version 1.1-0 (2014-06-12)
User-visible changes
- added new function - cvriskfor generic cross-validation (gamboostLSS now requires mboost >= 2.2-3 for the generic function definition)
- added a function to obtain cross-validation grids ( - make_grid)
- added new function - as.familiesto include gamlss families in gamboostLSS
- added new families - BetaLSS(implemented by Florian Wickler),- GammaLSS,- GaussianLSS,- ZIPoLSS,- ZINBLSS
-  GaussianLSSis now the default forfamilies
- added new functions - predint()and- plot(predint())to obtain and plot marginal prediction intervals
- added stabilization factor for negative gradients (MAD): turn on the stabilization by using 
 - options(gamboostLSS_stab_ngrad = TRUE)
- added new data sets - indiaand- india.bnd
Miscellaneous
- lots of minor improvements in the interface and methods 
- improved manuals in various places 
Bug-fixes
- Speed of model fitting was dependent on iteration, i.e. the algorithm got slower for larger - mstopvalues
Changes in gamboostLSS version 1.0-3 (2011-11-16)
Miscellaneous
- removed duplicated (and slightly altered) code from mboost that was required to make gamboostLSS work with earlier versions of mboost; 
 gamboostLSS now requires mboost >= 2.0-12
Bug-fixes
- fixed potential problem that might occur if users specify different outcomes for different components 
- fixed bug in ‘tests/regtest-gamboostLSS.R’ 
Changes in gamboostLSS version 1.0-2 (2011-08-31)
Bug-fixes
- changed the way we use environments (to get rid of note: - no visible binding)
Changes in gamboostLSS version 1.0-1 (2011-08-10)
Miscellaneous
- updated dependencies 
Bug-fixes
- fixed bug in - selected()
Changes in gamboostLSS version 1.0 (2011-08-10)
Miscellaneous
- updated references 
- moved gamboostLSS to CRAN 
Bug-fixes
- some changes to make gamboostLSS work with mboost 2.0.x series 
Changes in gamboostLSS version 0.5 (2010-07-02)
- initial development version of gamboostLSS on R-forge