simode: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching

Implements statistical inference for systems of ordinary differential equations, that uses the integral-matching criterion and takes advantage of the separability of parameters, in order to obtain initial parameter estimates for nonlinear least squares optimization. Dattner & Yaari (2018) <arXiv:1807.04202>. Dattner et al. (2017) <doi:10.1098/rsif.2016.0525>. Dattner & Klaassen (2015) <doi:10.1214/15-EJS1053>.

Version:	1.2.0
Depends:	R (≥ 3.4.0)
Imports:	deSolve, quadprog, pracma
Suggests:	parallel, Rcgmin, Rvmmin, R.rsp, knitr, testthat
Published:	2020-05-14
Author:	Itai Dattner [aut], Rami Yaari [aut, cre]
Maintainer:	Rami Yaari <ramiyaari at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	README
CRAN checks:	simode results

Documentation:

Reference manual:	simode.pdf
Vignettes:	simode: Statistical inference of ODEs using separable integral-matching

Downloads:

Package source:	simode_1.2.0.tar.gz
Windows binaries:	r-devel: simode_1.2.0.zip, r-release: simode_1.2.0.zip, r-oldrel: simode_1.2.0.zip
macOS binaries:	r-release (arm64): simode_1.2.0.tgz, r-oldrel (arm64): simode_1.2.0.tgz, r-release (x86_64): simode_1.2.0.tgz, r-oldrel (x86_64): simode_1.2.0.tgz
Old sources:	simode archive

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