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bump version and update news
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venpopov committed Feb 21, 2024
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: bmm
Title: Easy and Accesible Bayesian Measurement Models using 'brms'
Version: 0.3.4.9000
Version: 0.3.5.9000
Authors@R: c(
person("Vencislav", "Popov", , "[email protected]", role = c("aut", "cre", "cph")),
person("Gidon", "Frischkorn", , "[email protected]", role = c("aut", "cph")))
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1 change: 1 addition & 0 deletions NEWS.md
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* add postprocessing methods for sdmSimple to allow for pp_check(), conditional_effects and bridgesampling usage with the model (#30)
* add informed default priors for all models. You can always use the `get_model_prior()` function to see the default priors for a model
* add a new function `set_default_prior` for developers, which allows them to more easily set default priors on new models regardless of the user-specified formula
* you can now specify variables for models via regular expressions rather than character vectors [#102]

### Bug fixes
* fix a bug in the mixture3p and IMM models which caused an error when intercept was not supressed and set size was used as predictor
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