Newest versions at top.
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- Update email address
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- Use new CITATION style
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- Fix CRAN errors at #44
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- Removed 'set_mcbette_state', as this violates CRAN policy
- Use GitHub Actions as a continuous integration service
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- Add
plot_marg_liks
- Add
check_marg_liks
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- Process CRAN feedback, thanks Gregor Seyer
- Use
messageinstead ofcat/print - Fix URL in DESCRIPTION
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- Depends on CRAN version of beautier (v2.4)
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- Processed feedback rOpenSci
- Processed feedback JOSS
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- Transferred repository ownership to rOpenSci
- Processed feedback rOpenSci
- Processed feedback JOSS
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- Use CRAN versions of babette packages
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- Add
mcbette_self_testto self-testmcbette - Add
mcbette_reportto print all information needed for a bug report - Add
get_mcbette_stateandset_mcbette_stateto store and restore themcbettestate.check_mcbette_stateverifies ifmcbetteis in one of these three states: (1) both BEAST2 and the BEAST NS are installed, (2) only BEAST2 is installed (3) neither BEAST2 and the BEAST NS are installed
- Separated the package
mcbettefrom a script running it. The latter can be found at https://github.com/richelbilderbeek/mcbette_run - Add
README.Rmd, buildREADME.mdfrom it - Add AppVeyor build, even though the core feature of
mcbetterequires Linux or MacOS
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- Added
can_run_mcbetteas a shorthand for three if-statements - Added
create_ns_inference_modelfor convenience, as it is the same ascreate_inference_model(mcmc = create_ns_mcmc(...), ...). This function will be moved tobeautierin a future version - Vignette uses BEAST2 example alignment, instead of a simulated alignment
- Prepare for rOpenSci review
- Added more and better examples to the documentation
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- Use CRAN version of
babette
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- Follow interface of beautier v2.3
- Use CRAN versions of
beautier,beastier,tracerer,mauricer - Processed all @lintr-bot's comments
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- Higher number of particles do result in a better estimation
- Renamed
est_marg_liks_from_modelstoest_marg_liks, removed the oldest_marg_liks
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- Creates BEAST2 temporary files in same folder as the BEAST2 working
folder. This allows
mcbetteto run on the Groninger Peregrine computer cluster
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- Show effective sample size in marginal likelihood estimation
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- Removed duplicate
epsilonargument fromest_marg_liks_from_model: use theepsilonsupplied in the inference models' nested sampling MCMC
- Better error message when using a CBS site model and too few taxa
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- Added
est_marg_likto estimate a single marginal likelihood - Disallow failed marginal likelihood estimations in
est_marg_liks: the resulting table will never containNAs
- Better error message when using a CBS site model and too few taxa
- Builds on Bionic
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An untagged release
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- Travis builds on three operating systems
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