R: Sensitivity Analysis with 'mrgsolve'

# Sensitivity Analysis with 'mrgsolve'

## Documentation for package ‘mrgsim.sa’ version 0.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

lsa | Perform local sensitivity analysis
lsa_plot | Perform local sensitivity analysis
mrgsim.sa | Sensitivity Analysis with 'mrgsolve'
parseq_cv | Generate a sequence of parameters based on CV
parseq_factor | Generate a sequence of parameters
parseq_fct | Generate a sequence of parameters
parseq_manual | Simulation helper to manually specify parameter sequences
parseq_range | Simulation helper to generate a sequence of parameters from a range
parseq_reference | Set reference values for each parameter
select_par | Identify parameters in a model for sensitivity analysis
select_sens | Select sensitivity runs from a sens_each object
sens_each | Run an ad-hoc sensitivity analysis
sens_each_data | Run an ad-hoc sensitivity analysis
sens_fun | Run an ad-hoc sensitivity analysis
sens_grid | Run an ad-hoc sensitivity analysis
sens_grid_data | Run an ad-hoc sensitivity analysis
sens_plot | Plot sensitivity analysis results
sens_plot.sens_each | Plot sensitivity analysis results
sens_plot.sens_grid | Plot sensitivity analysis results
sens_run | Run ad-hoc parameter sensitivity analyses with mrgsolve
seq_cv | Generate a sequence based on coefficient of variation
seq_even | Generate evenly spaced sequence
seq_fct | Generate a sequence by fold increase and decrease from a point
seq_geo | Generate a geometric sequence of parameter values