Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.0.2) |
| Imports: |
GIGrvg (≥ 0.4), Rcpp (≥ 1.0.0), corrplot, methods, grDevices, graphics, stats, utils, stochvol (≥ 3.0.2) |
| LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.9.900), stochvol |
| Suggests: |
LSD (≥ 4.0-0), coda (≥ 0.19-2), knitr, RColorBrewer, testthat (≥ 2.1.0), zoo |
| Published: |
2023-11-24 |
| DOI: |
10.32614/CRAN.package.factorstochvol |
| Author: |
Gregor Kastner 
[aut, cre],
Darjus Hosszejni
[ctb],
Luis Gruber [ctb] |
| Maintainer: |
Gregor Kastner <gregor.kastner at aau.at> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
factorstochvol citation info |
| Materials: |
NEWS |
| In views: |
Bayesian, Finance, TimeSeries |
| CRAN checks: |
factorstochvol results |