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Increment version number to 2.1.2.9017
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DESCRIPTION

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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",

NEWS.md

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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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