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 ORCID iD [aut, cre], Christopher R. Myers ORCID iD [ctb], Scott H. McArt ORCID iD [ctb], Stephen P. Ellner ORCID iD [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-prerel: tdsa_1.1-0.zip, r-release: tdsa_1.1-0.zip, r-oldrel: tdsa_1.1-0.zip
macOS binaries: r-prerel (arm64): tdsa_1.1-0.tgz, r-release (arm64): tdsa_1.1-0.tgz, r-oldrel (arm64): tdsa_1.1-0.tgz, r-prerel (x86_64): tdsa_1.1-0.tgz, r-release (x86_64): tdsa_1.1-0.tgz
Old sources: tdsa archive

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