Provides some code to run simulations of state-space models, and then
use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC)
algorithm of Toni et al. (2009) <doi:10.1098/rsif.2008.0172> and a bootstrap particle
filter based particle Markov chain Monte Carlo (PMCMC) algorithm
(Andrieu et al., 2010 <doi:10.1111/j.1467-9868.2009.00736.x>).
Also provides functions to plot and summarise the outputs.
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
stats, dplyr, purrr, tibble, ggplot2, tidyr, mvtnorm, grDevices, RColorBrewer, Rcpp, RcppXPtrUtils, coda |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
parallel, GGally, testthat |
| Published: |
2021-02-04 |
| DOI: |
10.32614/CRAN.package.SimBIID |
| Author: |
Trevelyan J. McKinley [aut, cre],
Stefan Widgren [aut] (Author of 'R/mparse.R'),
Pavol Bauer [cph] (R/mparse.R),
Robin Eriksson [cph] (R/mparse.R),
Stefan Engblom [cph] (R/mparse.R) |
| Maintainer: |
Trevelyan J. McKinley <t.mckinley at exeter.ac.uk> |
| BugReports: |
https://github.com/tjmckinley/SimBIID/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/tjmckinley/SimBIID |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| CRAN checks: |
SimBIID results |