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mrgsim.sa  

Sensitivity Analysis with 'mrgsolve'
View on CRAN: Click here


Download and install mrgsim.sa package within the R console
Install from CRAN:
install.packages("mrgsim.sa")

Install from Github:
library("remotes")
install_github("cran/mrgsim.sa")

Install by package version:
library("remotes")
install_version("mrgsim.sa", "0.2.0")



Attach the package and use:
library("mrgsim.sa")
Maintained by
Kyle Baron
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-30
Latest Update: 2020-11-30
Description:
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.
How to cite:
Kyle Baron (2020). mrgsim.sa: Sensitivity Analysis with 'mrgsolve'. R package version 0.2.0, https://cran.r-project.org/web/packages/mrgsim.sa
Previous versions and publish date:
0.1.0 (2020-11-30 12:20)
Other packages that cited mrgsim.sa R package
View mrgsim.sa citation profile
Other R packages that mrgsim.sa depends, imports, suggests or enhances
Functions, R codes and Examples using the mrgsim.sa R package
Some associated functions: as.data.frame.sens_each . denest . lsa . mrgsim.sa . parseq_cv . parseq_fct . parseq_manual . parseq_range . parseq_reference . plot.lsa . select_par . select_sens . sens_fun . sens_plot . sens_run . seq_cv . seq_even . seq_fct . seq_geo . 
Some associated R codes: AAA.R . lsa.R . parseq.R . sens.R . sens_each.R . sens_grid.R . sens_plot.R . sens_run.R . seq.R . utils.R .  Full mrgsim.sa package functions and examples
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