NEWS (original) (raw)

BMS 0.3.5

Last build 2022-08-05. Rebuilding package with modern means in order to prepare expansion of package. Coding started in Jan 2022, fixing small issues… ## Main changes * License changed from artistic to BSD3 * Co-author added: Paul Hofmarcher, maintainer email changed. * Source coude released at github: github.com/zeugner/BMS, no with roxygen documentation * For issues, check bms.zeugner.eu * ## Bug fixes *bms(): Fixed numerical tolerance bugs relating to enumeration over datasets with 1000+ observations * Fixed coercion to logical(1) issue * Reduced file size of bma objects somewhat

BMS 0.3.3

Build 2013-11-22. Maintenance release to cope with changes in R version 3 compared to version 2. Alse see release notes at https://modelaveraging.wordpress.com/category/news/

BMS 0.3.2

Build 2013-11-17. Maintenance release to cope with changes in R version 3 compared to version 2

BMS 0.3.1

Build 2012-08-28. Maintenance release to fix inconsistencies in package version 0.3.0 (Warnings in package checks) under new R versions >=2.14

BMS 0.3.0

Build 2011-05-04

##Changes * Changed behavior of pmp.bma()

New features:

• bms() now can hold a set of fixed regressors (argument fixed.reg)
• New post-processing functions functions pred.density(),plot.pred.density(), print.pred.density(),predict.bma(), predict.zlm()
• New functions quantile.density(),quantile.pred.density(),quantile.coef.density()
• New function pmpmodel()
• New post-processing functions post.var() andpost.pr2()
• New S3 additionms model.frame.bma(),model.frame.zlm(), deviance.bma(),deviance.zlm(), variable.names.bma(),variable.names.zlm(), logLik.zlm(),vcov.zlm()
• bms can now accommodate user-defined coefficient (g) and model-priors, as well as samplers

Bug fixes:

• bms(): * bug with accept.candi = NA fixed
  * problems with environment in non-standard settings fixed (in internal function .construct.arglist) * mprior ==“custompip” is now working properly (fixed in internal function .mprior.pip.init) * fixed problem with sys.call in non-standard calling environments
• plotComp(): * also works for single bma object now * fixed display when variable names are too long, fixed many problems with graphical parameters - completely redone
• topmod(): * bug when likelihood==-Inf, fixed (in internal function .top10) * initializing with bbeta==FALSE now works properly (fixed in .top10)
• density.bma(): bug with par and plot.new fixed when argument addons contains “p”
• image.bma(): fixed display problems when variable names too long
• plotConv() (resp. plot.bma): fixed warning ‘In min(x) : no non-missing arguments to min; returning Inf’
• plotModelsize(): * bugfixes for parameter ksubset and graphical parameters * can now cope with case when model prior is not available

Changes to internal objects:

• New classes: gprior, mprior, pred.density, implicit class coef.density
• Streamlining and customizability of gprior required changes to following functions: bms(), zlm(), .choose.gprior, gdensity, .topmod.as.bbetaT New functions gprior.constantg.init, gprior.eblocal.init and .gprior.hyperg.init now provide for generic handling of g-priors Old functions lprob.*.init are still available for compatibility
• Streamlining and customizability of mprior required changes to following functions: .choose.mprior, and all .mprior.*.init functions
• Streamlining and customizability of sampling functions led to streamlining of: .iterenum, .fls.samp, .rev.jump, .enum_startend
• Introduction of bms argument fixed.reg is handled generically by functions
  .fixedset.mprior, .fixedset.sampler, .starter, .choose.mprior, bms
• Speeding-up of syntax (replacing $ with [[, directly calling internal functions) yields 5% speed gain in bms vs version 0.2.5
• .construct.arglist has been vastly changed

BMS 0.2.5

Build 2010-07-30, fixed a bug affecting with coefficient appearance

BMS 0.2.4

Build 2010-07-25, first release on CRAN