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

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

covr, dplyr, ggplot2 (>= 2.0.0), Hmisc, KFAS (>= 1.2.1),
knitr (>= 1.11), MASS, posterior, rmarkdown (>= 0.8.1), ramcmc,
sde, sitmo, testthat
checkmate, coda (>= 0.18-1), diagis, Rcpp (>= 0.12.3)

covr, ggplot2 (>= 2.0.0), KFAS (>= 1.2.1), knitr (>= 1.11),
MASS, rmarkdown (>= 0.8.1), ramcmc, sde, sitmo, testthat
magrittr, checkmate, coda (>= 0.18-1), diagis, dplyr,
posterior, Rcpp (>= 0.12.3), rlang, tidyr

Efficient methods for Bayesian inference of state space models
via Markov chain Monte Carlo (MCMC) based on parallel
importance sampling type weighted estimators
(Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>),
particle MCMC, and its delayed acceptance version.
Gaussian, Poisson, binomial, negative binomial, and Gamma
observation densities and basic stochastic volatility models
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.

Birnbaum-Saunders Model Based on Skew-Normal Distribution
Rocio Paola Maehara <rmaeharaa@gmail.com> and Luis Benites Sanchez <lbenitesanchez@gmail.com>
It provides the density, distribution function, quantile function,
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.

It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function,
moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter
Birnbaum-Saunders model based on Skew-Normal Distribution.
Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.