amca: Run the AMCA algorithm.

Description Usage Arguments Value Examples

Description

Run the AMCA algorithm.

Usage

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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

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# results <- amca(DATA, ResultsFolder)

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