invgamstochvol: Obtains the Log Likelihood for an Inverse Gamma Stochastic Volatility Model

Computes the log likelihood for an inverse gamma stochastic volatility model using a closed form expression of the likelihood. The details of the computation of this closed form expression are given in Gonzalez and Majoni (2023) <> . The closed form expression is obtained for a stationary inverse gamma stochastic volatility model by marginalising out the volatility. This allows the user to obtain the maximum likelihood estimator for this non linear non Gaussian state space model. In addition, the user can obtain the estimates of the smoothed volatility using the exact smoothing distributions.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, spelling
Published: 2023-08-18
DOI: 10.32614/CRAN.package.invgamstochvol
Author: Leon Gonzalez [aut, cph], Blessings Majoni ORCID iD [aut, cre]
Maintainer: Blessings Majoni <bmayjay at>
License: MIT + file LICENSE
NeedsCompilation: yes
Language: en-US
Materials: NEWS
CRAN checks: invgamstochvol results


Reference manual: invgamstochvol.pdf
Vignettes: A Tutorial for invgamstochvol package


Package source: invgamstochvol_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): invgamstochvol_1.0.0.tgz, r-oldrel (arm64): invgamstochvol_1.0.0.tgz, r-release (x86_64): invgamstochvol_1.0.0.tgz, r-oldrel (x86_64): invgamstochvol_1.0.0.tgz
Old sources: invgamstochvol archive


Please use the canonical form to link to this page.