Skip to main content

A compilation of nonlinear growth models

Project description

PyPI Travis CI build status Requirements Status Codecov Code Coverage Scrutinizer Code Quality Codacy Badge

A compilation of nonlinear growth models

Features

pygrowthmodels includes functions for the calculation of the following nonlinear growth models and its inverse functions:

  • Blumberg

  • Brody

  • Chapman-Richards

  • Generalised Logistic

  • Generalised Richard

  • Gompertz

  • Janoschek

  • Log-logistic

  • Logistic

  • Mitcherlich

  • Monomolecular

  • Morgan-Mercer-Flodin

  • Negative exponential

  • Richard’s

  • Rosso

  • Schnute

  • Stannard

  • von Bertalanffy

  • Weibull

References

  1. D. Fekedulegn, M. Mac Siurtain, and J. Colbert, “Parameter estimation of nonlinear growth models in forestry,” Silva Fennica, vol. 33, no. 4, pp. 327-336, 1999. Full text

  2. M. M. Kaps, W. O. W. Herring, and W. R. W. Lamberson, “Genetic and environmental parameters for traits derived from the Brody growth curve and their relationships with weaning weight in Angus cattle.,” Journal of Animal Science, vol. 78, no. 6, pp. 1436-1442, May 2000. Full text

  3. A. Tsoularis and J. Wallace, “Analysis of logistic growth models.,” Math Biosci, vol. 179, no. 1, pp. 21–55, Jul. 2002. DOI identifier: 10.1016/j.bbr.2011.03.031

  4. A. Khamiz, Z. Ismail, and A. T. Muhammad, “Nonlinear growth models for modeling oil palm yield growth,” Journal of Mathematics and Statistics, vol. 1, no. 3, p. 225, 2005. DOI identifier: 10.3844/jmssp.2005.225.233

  5. Michael J. Panik, “Growth Curve Modeling: Theory and Applications”, John Wiley & Sons, December 2013.

  6. T. Ross, “Indices for performance evaluation of predictive models in food microbiology.” J. Appl. Bacteriol. vol. 81, no. 5, pp. 501–508. Nov. 1996.

  7. Wikipedia contributors, “Generalised logistic function”, Wikipedia, The Free Encyclopedia, 6 April 2018, 16:27 UTC, accessed 6 April 2018

Disclaimer

Copyright (C) 2018 Daniel Rodríguez Pérez

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygrowthmodels-0.0.3.tar.gz (12.8 kB view details)

Uploaded Source

File details

Details for the file pygrowthmodels-0.0.3.tar.gz.

File metadata

File hashes

Hashes for pygrowthmodels-0.0.3.tar.gz
Algorithm Hash digest
SHA256 cf5828d563b7843009659d07a9c0f744090012a724400073fd6a28308c3a8298
MD5 f9ba6806ecd7a294d3e39a9af51c1ba1
BLAKE2b-256 84dbb775dd6b333d5388443eb179e5890c5d14abc7b9192b8278e8cb6f06e533

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page