Parameter estimation for stochastic volatility models using maximum likelihood. The latent log-volatility is integrated out of the likelihood using the Laplace approximation. The models are fitted via 'TMB' (Template Model Builder) (Kristensen, Nielsen, Berg, Skaug, and Bell (2016) <doi:10.18637/jss.v070.i05>).
Version: | 0.1.2 |
Depends: | R (≥ 3.5.0) |
Imports: | TMB, ggplot2, sn, stats, data.table |
LinkingTo: | RcppEigen, TMB |
Suggests: | testthat (≥ 2.1.0), shiny, knitr, rmarkdown, stochvol |
Published: | 2020-09-04 |
Author: | Jens Christian Wahl |
Maintainer: | Jens Christian Wahl <jens.c.wahl at gmail.com> |
BugReports: | https://github.com/JensWahl/stochvolTMB/issues |
License: | GPL-3 |
URL: | https://github.com/JensWahl/stochvolTMB |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | stochvolTMB results |
Reference manual: | stochvolTMB.pdf |
Vignettes: |
stochvolTMB: Likelihood estimation of stochastic volatility |
Package source: | stochvolTMB_0.1.2.tar.gz |
Windows binaries: | r-devel: stochvolTMB_0.1.2.zip, r-release: stochvolTMB_0.1.2.zip, r-oldrel: stochvolTMB_0.1.2.zip |
macOS binaries: | r-release: stochvolTMB_0.1.2.tgz, r-oldrel: stochvolTMB_0.1.2.tgz |
Old sources: | stochvolTMB archive |
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