Package: SimBIID 0.2.2

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_0.2.2.tar.gz
SimBIID_0.2.2.tar.gz(r-4.7-arm64)SimBIID_0.2.2.tar.gz(r-4.7-x86_64)SimBIID_0.2.2.tar.gz(r-4.6-arm64)SimBIID_0.2.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
SimBIID/json (API)
NEWS

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

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

On CRAN:

Conda:

openblascpp

1.00 score 5 scripts 220 downloads 6 exports 35 dependencies

Last updated from:c3b9795049. Checks:5 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK209
linux-devel-x86_64OK201
source / vignettesOK215
linux-release-arm64OK231
linux-release-x86_64OK233
wasm-releaseFAIL134

Exports:ABCRefABCSMCcompileRcppmparseRcppPMCMCrun

Dependencies:clicodacpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmvtnormpillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadilloRcppXPtrUtilsrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr