Package: SimBIID 0.2.1

Trevelyan J. McKinley

SimBIID: Simulation-Based Inference Methods for Infectious Disease Models

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.

Authors:Trevelyan J. McKinley [aut, cre], Stefan Widgren [aut], Pavol Bauer [cph], Robin Eriksson [cph], Stefan Engblom [cph]

SimBIID_0.2.1.tar.gz
SimBIID_0.2.1.tar.gz(r-4.5-noble)SimBIID_0.2.1.tar.gz(r-4.4-noble)
SimBIID.pdf |SimBIID.html
SimBIID/json (API)
NEWS

# Install 'SimBIID' in R:
install.packages('SimBIID', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tjmckinley/simbiid/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • ebola - Time series counts of ebola cases
  • smallpox - Time series counts of smallpox cases

1.00 score 4 scripts 216 downloads 6 exports 41 dependencies

Last updated 4 years agofrom:e372cdcf7b. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-linux-x86_64NOTENov 15 2024

Exports:ABCRefABCSMCcompileRcppmparseRcppPMCMCrun

Dependencies:clicodacolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadilloRcppXPtrUtilsrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr