eemma.R, an R script for Ensemble End-Member Mixing Analysis

The R script eemma.R, which implements Ensemble End-Member Mixing Analysis (EEMMA) to estimate source fractions in mixtures, exploiting information contained in time-series correlations among tracer time series.

A brief user's guide, a demonstration script, and a demonstration data set are also provided, to accompany Kirchner, J.W., Mixing models with multiple, overlapping, or incomplete end-members, quantified using time series of a single tracer, Geophysical Research Letters, 2023.

The user's guide is available for public use under Creative Commons CC-BY-SA. Public use of the scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

Funding Information:

This work was supported by:
  • ETH Zurich

Related Publications

Kirchner, J.W., Mixing models with multiple, overlapping, or incomplete end-members, quantified using time series of a single tracer, Geophysical Research Letters, 2023.

Citation:

Kirchner, James W. (2023). eemma.R, an R script for Ensemble End-Member Mixing Analysis. EnviDat. doi:10.16904/envidat.410.

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Data and Resources

Metadata

Field Values
DOI 10.16904/envidat.410
Publication State Published
Authors
  • Email: kirchnerfoo(at)ethz.ch ORCID: 0000-0001-6577-3619 Given Name: James W. Family Name: Kirchner Affiliation: ETHZ Additional Affiliation : WSL Additional Affiliation : University of California, Berkeley DataCRediT: Collection, Validation, Curation, Software, Publication, Supervision
Contact Person Given Name: James W. Family Name: Kirchner Email: kirchnerfoo(at)ethz.ch
Subtitles
Publication Publisher: EnviDat Year: 2023
Dates
  • Type: Created Date: 2023-03-27
Version 1.0
Type software
General Type Software
Language English
Location Switzerland
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated June 12, 2023, 09:31 (UTC)
Created June 9, 2023, 11:51 (UTC)