Delta 2.0 — A program for finding dependencies in tables of data

Published: 1 January 1994| Version 1 | DOI: 10.17632/hzb9zw24f8.1
Hong Pi, Carsten Peterson


Abstract A package written in C for identifying variable dependencies in tables of data is presented. The key ingredient is the δ-test, which establishes dependency structures by exploiting the properties of continuous functions using conditional probabilities formed out of the data. The method estimates most relevant variables, embedding dimensions and noise levels. The program, which is self-contained, also includes optional graphical output. Title of program: DELTA 2.0. Catalogue Id: ACVP_v1_0 Nature of problem Analysis of experimental data for determining dependencies among the measured variables and establishing noise levels. This is a frequently occurring task in natural sciences. Standard methods for these problems are typically limited to linear dependencies like using correlation matrices. Many problems in physics are nonlinear by nature and hence require analysis methods that are not limited to linear approximations. Versions of this program held in the CPC repository in Mendeley Data ACVP_v1_0; DELTA 2.0.; 10.1016/0010-4655(94)90056-6 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computational Physics, Computational Method