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shrinkTVPVAR

Efficient Bayesian Inference for TVP-VAR-SV Models with Shrinkage

v1.0.1 · Jun 3, 2025 · GPL (>= 2)

Description

Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter vector autoregressive models with stochastic volatility (TVP-VAR-SV) under shrinkage priors and dynamic shrinkage processes. Details on the TVP-VAR-SV model and the shrinkage priors can be found in Cadonna et al. (2020) <doi:10.3390/econometrics8020020>, details on the software can be found in Knaus et al. (2021) <doi:10.18637/jss.v100.i13>, while details on the dynamic shrinkage process can be found in Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
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OK r-devel-linux-x86_64-debian-gcc

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OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.7Mb
  sub-directories of 1Mb or more:
    libs   5.5Mb
OK r-oldrel-windows-x86_64

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OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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OK r-release-macos-arm64

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OK r-release-windows-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.7Mb
  sub-directories of 1Mb or more:
    libs   5.5Mb

Dependency Network

Dependencies Reverse dependencies Rcpp shrinkTVP stochvol coda RColorBrewer lattice zoo mvtnorm shrinkTVPVAR

Version History

new 1.0.1 Mar 9, 2026