observation densities, stochastic volatility models with Gaussian state

Title: Bayesian Inference of Non-Gaussian State Space Models
via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel
importance sampling type weighted estimators
(Vihola, Helske, and Franks, 2020, <arXiv:1609.02541>).
Gaussian, Poisson, binomial, negative binomial, and Gamma
dynamics, as well as general non-linear Gaussian models and discretised
Suggests: dplyr, ggplot2 (>= 2.0.0), Hmisc, KFAS (>= 1.2.1), knitr (>=
1.11), MASS, ramcmc, rmarkdown (>= 0.8.1), sde, sitmo, testthat
LinkingTo: Rcpp, RcppArmadillo, ramcmc, sitmo

(Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>).

observation densities and basic stochastic volatility models
as well as general non-linear Gaussian models and discretised

SystemRequirements: C++11, pandoc (>= 1.12.3, needed for vignettes)

Suggests: covr, dplyr, ggplot2 (>= 2.0.0), Hmisc, KFAS (>= 1.2.1),
knitr (>= 1.11), MASS, ramcmc, rmarkdown (>= 0.8.1), sde,

knitr (>= 1.11), MASS, posterior, rmarkdown (>= 0.8.1), ramcmc,
Imports: checkmate, coda (>= 0.18-1), diagis, Rcpp (>= 0.12.3)

MASS, rmarkdown (>= 0.8.1), ramcmc, sde, sitmo, testthat
Imports: magrittr, checkmate, coda (>= 0.18-1), diagis, dplyr,
posterior, Rcpp (>= 0.12.3), rlang, tidyr
LinkingTo: ramcmc, Rcpp, RcppArmadillo, sitmo

via Markov chain Monte Carlo (MCMC) based on parallel
(Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>),
particle MCMC, and its delayed acceptance version.
with linear-Gaussian state dynamics, as well as general non-linear Gaussian
models and discretised diffusion models are supported.
See Helske and Vihola (2021, <doi:10.32614/RJ-2021-103>) for details.

Title: Birnbaum-Saunders Model Based on Skew-Normal Distribution
Author: Rocio Paola Maehara <rmaeharaa@gmail.com> and Luis Benites Sanchez <lbenitesanchez@gmail.com>
Maintainer: Rocio Paola Maehara <rmaeharaa@gmail.com>
random number generator, reliability function, failure rate, likelihood function,
moments and EM algorithm for Maximum Likelihood estimators for a given sample, all
this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution.