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tdsa: Time-Dependent Sensitivity Analysis

Functions that can be used to calculate time-dependent state and parameter sensitivities for both continuous- and discrete-time deterministic models. See Ng et al. (in press) <doi:10.1086/726143> for more information about time-dependent sensitivity analysis.

Version:	1.1-0
Depends:	R (≥ 3.5.0)
Imports:	deSolve (≥ 1.10-6), mathjaxr (≥ 0.8-3), numDeriv (≥ 2006.4-1)
Suggests:	knitr, tinytest
Published:	2023-09-10
Author:	Wee Hao Ng [aut, cre], Christopher R. Myers [ctb], Scott H. McArt [ctb], Stephen P. Ellner [ctb]
Maintainer:	Wee Hao Ng <wn68 at cornell.edu>
BugReports:	https://github.com/weehaong/tdsa/issues
License:	GPL-3
URL:	https://github.com/weehaong/tdsa
NeedsCompilation:	no
Citation:	tdsa citation info
Materials:	NEWS
CRAN checks:	tdsa results

Documentation:

Reference manual:	tdsa.pdf
Vignettes:	What is time-dependent sensitivity analysis (TDSA)? Using the tdsa package for time-dependent sensitivity analysis: a basic example Using the tdsa package for time-dependent sensitivity analysis: a more complicated example

Downloads:

Package source:	tdsa_1.1-0.tar.gz
Windows binaries:	r-devel: tdsa_1.1-0.zip, r-release: tdsa_1.1-0.zip, r-oldrel: tdsa_1.1-0.zip
macOS binaries:	r-release (arm64): tdsa_1.1-0.tgz, r-oldrel (arm64): tdsa_1.1-0.tgz, r-release (x86_64): tdsa_1.1-0.tgz, r-oldrel (x86_64): tdsa_1.1-0.tgz
Old sources:	tdsa archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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