shrinkTVP

Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) doi:10.1016/j.jeconom.2018.11.006 and Cadonna et al. (2020) doi:10.3390/econometrics8020020 and Knaus and Frühwirth-Schnatter (2023) doi:10.48550/arXiv.2312.10487. For details on the package, please see Knaus et al. (2021) doi:10.18637/jss.v100.i13.

Last 30 days

This package has been downloaded 381 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 14 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,729 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jul 03, 2024 with 184 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.