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Package: bvhar
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Type: Package
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Title: Bayesian Vector Heterogeneous Autoregressive Modeling
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- Version: 2.1.2.9016
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+ Version: 2.1.2.9017
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Authors@R:
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c(person(given = "Young Geun",
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family = "Kim",
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* Requires ` R >= 4.1 ` following [ tidyverse R version support schedule] ( https://www.tidyverse.org/blog/2019/04/r-version-support/ )
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- * Use ` spdlog ` (using ` RcppSpdlog ` ) logger instead of custom progress bar (` bvharprogress ` ).
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- * Use ` RcppThread ` to make the logger thread-safe ([ eddelbuettel/rcppspdlog #22 ] ( https://github.com/eddelbuettel/rcppspdlog/issues/22 ) )
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- * Can filter MCMC draws where coefficient is stable when forecasting.
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+ * ` stable = TRUE ` can filter MCMC draws where coefficient is stable when forecasting.
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* Changed Eigen and boost assertion behavior (` eigen_assert ` and ` BOOST_ASSERT ` ) to give error instead of abort.
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* ` var_bayes() ` and ` vhar_bayes() ` can choose to use only group shrinkage parameters without global parameter with ` ggl = FALSE ` option.
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+ * ` set_gdp() ` can use Generalized Double Pareto (GDP) shrinkage prior.
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+ * ` alpl() ` gives summary of LPL across every horizon.
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+ ### Internal changes
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+ * Apply Devroye (2014) to draw GIG instead of Hörmann and Leydold.
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+ * Use ` spdlog ` (using ` RcppSpdlog ` ) logger instead of custom progress bar (` bvharprogress ` ).
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+ * Use ` RcppThread ` to make the logger thread-safe ([ eddelbuettel/rcppspdlog #22 ] ( https://github.com/eddelbuettel/rcppspdlog/issues/22 ) )
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* Use inverse-gamma prior for group parameters in DL.
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* SAVS penalty is zero in own-lag.
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- * ` set_gdp() ` can use Generalized Double Pareto (GDP) shrinkage prior.
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+ ### Removal or deprecation
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- * ` alpl ()` gives summary of LPL across every horizon .
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+ * Removed ` sim_gig ()` R function .
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## C++ Header file changes
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