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mrgsim.sa (version 0.2.0)

Sensitivity Analysis with 'mrgsolve'

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.

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Install

install.packages('mrgsim.sa')

Monthly Downloads

181

Version

0.2.0

License

GPL (>= 2)

Issues

4

Pull Requests

0

Stars

6

Forks

0

Maintainer

Kyle Baron

Last Published

December 8th, 2023

Functions in mrgsim.sa (0.2.0)

parseq_range

Simulation helper to generate a sequence of parameters from a range
denest

Unnest a sens_each object
parseq_reference

Set reference values for each parameter
lsa

Perform local sensitivity analysis
parseq_cv

Generate a sequence of parameters based on CV
parseq_fct

Generate a sequence of parameters
mrgsim.sa

Sensitivity Analysis with 'mrgsolve'
parseq_manual

Simulation helper to manually specify parameter sequences
sens_run

Run ad-hoc parameter sensitivity analyses with mrgsolve
seq_even

Generate evenly spaced sequence
seq_cv

Generate a sequence based on coefficient of variation
select_sens

Select sensitivity runs from a sens_each object
select_par

Identify parameters in a model for sensitivity analysis
sens_fun

Run an ad-hoc sensitivity analysis
seq_geo

Generate a geometric sequence of parameter values
seq_fct

Generate a sequence by fold increase and decrease from a point
as.data.frame.sens_each

Coerce sens_each output to data frame
plot.lsa

Plot a lsa object
sens_plot

Plot sensitivity analysis results