Sensitivity Analysis with 'mrgsolve'

Perform sensitivity analysis on ordinary differential equation based models, including ad-hoc graphical analyses based on structured sequences of parameters as well as local sensitivity analysis. Functions are provided for creating inputs, simulating scenarios and plotting outputs.

Version: 0.1.0
Depends: mrgsolve
Imports: withr, purrr, dplyr, assertthat, rlang, ggplot2, tidyselect, tidyr, methods, tibble, patchwork
Suggests: testthat, knitr, rmarkdown
Published: 2020-11-30
Author: Kyle Baron [aut, cre]
Maintainer: Kyle Baron <kylebtwin at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
CRAN checks: results


Reference manual:
Package source: mrgsim.sa_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mrgsim.sa_0.1.0.tgz, r-release (x86_64): mrgsim.sa_0.1.0.tgz, r-oldrel: mrgsim.sa_0.1.0.tgz


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