Wee Hao Ng, Christopher R. Myers, Scott H. McArt, Stephen P. Ellner

CRAN/E | tdsa

Q: What does the R-package 'tdsa' do?

Time-Dependent Sensitivity Analysis

Installation

About

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.

Citation	tdsa citation info
github.com/weehaong/tdsa
Bug report	File report

Key Metrics

Version	1.1-0
R	≥ 3.5.0
Published	2023-09-10 411 days ago
Needs compilation?	no
License	GPL-3
CRAN checks	tdsa results

Downloads

Yesterday	5 0%
Last 7 days	30 -39%
Last 30 days	155 -15%
Last 90 days	495 -1%
Last 365 days	2.146 +95%

Maintainer

Wee Hao Ng

[email protected]

Authors

Wee Hao Ng	aut / cre
Christopher R. Myers	ctb
Scott H. McArt	ctb
Stephen P. Ellner	ctb

Material

NEWS
Reference manual
Package source

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

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64
r-oldrel	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

tdsa archive

Depends

R

≥ 3.5.0

Imports

deSolve	≥ 1.10-6
mathjaxr	≥ 0.8-3
numDeriv	≥2006.4-1

Suggests

knitr
tinytest