rjsf: R Interface to Jump-Switch-Flow Simulation

An R interface to Jump-Switch-Flow (JSF), a hybrid simulation framework for compartmental reaction models that combines stochastic jump dynamics at low population sizes with deterministic flow dynamics at high population sizes. Simulations are performed using the 'jsf' backend for 'Python' through 'reticulate', with structured R outputs for inspection, summary, and plotting. The underlying methodology is described in Germano et al. (2026) <doi:10.1007/s00285-026-02409-y>.

Version:	0.1.0
Imports:	reticulate, S7
Suggests:	quarto, testthat (≥ 3.0.0)
Published:	2026-10-15
DOI:	10.32614/CRAN.package.rjsf
Author:	Thanh Long Vu [aut, cre, cph], Domenic Germano [aut], Michael Lydeamore [aut]
Maintainer:	Thanh Long Vu <longvu2000.work at gmail.com>
BugReports:	https://github.com/olivervu25/rjsf/issues
License:	MIT + file LICENSE
URL:	https://olivervu25.github.io/rjsf/, https://github.com/olivervu25/rjsf
NeedsCompilation:	no
SystemRequirements:	Python, Quarto command line tool
Citation:	rjsf citation info
Materials:	README, NEWS
CRAN checks:	rjsf results

Documentation:

Reference manual:	rjsf.html , rjsf.pdf
Vignettes:	Getting started with rjsf (source, R code)

Downloads:

Package source:	rjsf_0.1.0.tar.gz
Windows binaries:	r-devel: rjsf_0.1.0.zip, r-release: rjsf_0.1.0.zip, r-oldrel: rjsf_0.1.0.zip
macOS binaries:	r-release (arm64): rjsf_0.1.0.tgz, r-oldrel (arm64): rjsf_0.1.0.tgz, r-release (x86_64): rjsf_0.1.0.tgz, r-oldrel (x86_64): rjsf_0.1.0.tgz

Linking:

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