a sample outcome. One of our design goals was to make the package

with user-defined models. For more details see the paper by
Widgren, Bauer, Eriksson and Engblom (2019)

comment = "Author of 'kbtree.h' and 'kvec.h'."))
'SimInf.R' 'degree.R' 'distance.R' 'mparse.R' 'openmp.R'
Attractive Chaos [cph] (Author of 'kbtree.h' and 'kvec.h'.)

Attractive Chaos [cph] (Author of 'kvec.h'.)

person("Thomas", "Rosendal", role = "ctb",
Imports: digest, graphics, grDevices, methods, stats, utils, Matrix
Collate: 'C-generator.R' 'check_arguments.R' 'init.R' 'valid.R'
'SimInf_events.R' 'SimInf_model.R' 'SEIR.R' 'SIR.R' 'SISe.R'
'SISe3.R' 'SISe3_sp.R' 'SISe_sp.R' 'SimInf.R' 'degree.R'

'distance.R' 'match_compartments.R' 'mparse.R' 'n.R' 'openmp.R'

<doi:10.18637/jss.v091.i12>. The package also provides
functionality to fit models to time series data using the
Approximate Bayesian Computation Sequential Monte Carlo
('ABC-SMC') algorithm of Toni and others (2009)
Acknowledgements: This software has been made possible by support from
the Swedish Research Council within the UPMARC Linnaeus center
of Excellence (Pavol Bauer, Robin Eriksson, and Stefan
Engblom), the Swedish Research Council Formas (Stefan Engblom
and Stefan Widgren), the Swedish Board of Agriculture (Stefan
Widgren), the Swedish strategic research program eSSENCE
(Stefan Widgren), and in the framework of the Full Force
project, supported by funding from the European Union’s Horizon
2020 Research and Innovation programme under grant agreement No
773830: One Health European Joint Programme (Stefan Widgren).
Imports: digest, graphics, grDevices, MASS, methods, stats, utils,
'SISe3.R' 'SISe3_sp.R' 'SISe_sp.R' 'SimInf.R' 'run.R' 'abc.R'

'classes.R' 'SimInf_model.R' 'SEIR.R' 'SIR.R' 'SISe.R'
'SISe3.R' 'SISe3_sp.R' 'SISe_sp.R' 'SimInf.R' 'SimInf_events.R'
'run.R' 'abc.R' 'abc_support.R' 'degree.R' 'distance.R'

'run.R' 'density_ratio.R' 'abc.R' 'abc_support.R' 'degree.R'
'mparse.R' 'n.R' 'openmp.R' 'package_skeleton.R' 'plot.R'

'classes.R' 'SimInf_model.R' 'SEIR.R' 'SIR.R' 'SIS.R' 'SISe.R'
'mparse.R' 'n.R' 'openmp.R' 'package_skeleton.R' 'pfilter.R'
'plot.R' 'prevalence.R' 'print.R' 'punchcard.R' 'trajectory.R'