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Title: Model Analysis ToolKit

MATK provides basic functionality to facilitate model analysis within the Python computational environment. Model analysis setup within MATK includes: - define parameters - define observations - define model (python function) - define samplesets (sets of parameter combinations) Currently supported functionality includes: - forward model runs - Latin-Hypercube sampling of parameters - multi-dimensional parameter studies - parallel execution of parameter samples - model calibration using internal Levenberg-Marquardt algorithm - model calibration using lmfit package - model calibration using levmar package - Markov Chain Monte Carlo using pymc package MATK facilitates model analysis using: - scipy - calibration (scipy.optimize) - rpy2 - Python interface to R
Publication Date:
OSTI Identifier:
Report Number(s):
MATK; 003429MLTPL00
C14023; LA-CC-13-132
DOE Contract Number:
Resource Type:
Software Revision:
Software Package Number:
Software Package Contents:
Open Source Software package available from Los Alamos National Laboratory at the following URL:
Software CPU:
Open Source:
Source Code Available:
Research Org:
Los Alamos National Laboratory
Sponsoring Org:
Country of Publication:
United States

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