Learn R Programming

fast (version 0.64)

Implementation of the Fourier Amplitude Sensitivity Test (FAST)

Description

The Fourier Amplitude Sensitivity Test (FAST) is a method to determine global sensitivities of a model on parameter changes with relatively few model runs. This package implements this sensitivity analysis method.

Copy Link

Version

Install

install.packages('fast')

Monthly Downloads

65

Version

0.64

License

GPL-2

Maintainer

Dominik Reusser

Last Published

August 2nd, 2015

Functions in fast (0.64)

freq_cukier

Calculate independent frequencies according to CUKIER1975 or McRae1982
S

Generate S-set for FAST method
fast-package

Implementation of the Fourier Amplitute Sensitivity Test (FAST)
double_serie

Double the length of a data series for the FAST algoritm
sa

Calculate sensitivities
p.sensitivity

Plot a vector (e.g. time series) of sensitivities
rerange

Linear transformation of data
na2mean

Replace NA in a vector by mean of neighboring values.
sensitivity_rep

Repeat calculation of sensitivities for lots of data
fast_parameters

Generate a parameter set for the FAST method
example_model2

Functions to demonstrate FAST
sensitivity

Calculate sensitivity according to the FAST algorithm