amca: Run the AMCA algorithm.

In cvitolo/amca: Automatic Model Configuration Algorithm (AMCA)

Description

Run the AMCA algorithm.

Usage

amca(DATA, ResultsFolder, parameters, ObsIndicesNames = c("LAGTIME", "MAE",
  "NSHF", "NSLF"), selectedModels = NULL, warmup = NULL, verbose = TRUE,
  deltim = 1)

Arguments

DATA	This is a data.frame containing the observed time series (zoo objects). It is structured into three columns: P containing precipitation, E containing potential evapotranspiration and Q containing streamflow discharge.
ResultsFolder	Path to the folder containing results from MC simulations.
parameters	is a data.frame containing all the parameter sets. This can be generated by fuse::generateParameters().
ObsIndicesNames	Names of model performance indices.
selectedModels	(OPTIONAL) This is a table that contains at list 1 column named mid (list of model structures). Other informations can be added as additional columns but will be ignored (default = NULL).
warmup	Percentage of initial time steps to ignore (default is 0.5 that corresponds to 50 percent of the full length).
verbose	if set to TRUE it prints running information (default is FALSE).
deltim	time step for FUSE simulations

Value

A list of suggested model configurations.

Examples

# results <- amca(DATA, ResultsFolder)

cvitolo/amca documentation built on May 28, 2019, 7:49 p.m.