Skip to main content

A framework for estimating and applying discrete choice models.

Project description

https://img.shields.io/pypi/v/larch.svg https://img.shields.io/badge/released-17%20January%202016-blue.svg https://img.shields.io/pypi/l/larch.svg https://readthedocs.org/projects/larch/badge/?version=latest&style=round

Larch: the logit architect

This is a tool for the estimation and application of logit-based discrete choice models. It is designed to integrate with NumPy and facilitate fast processing of linear models. If you want to estimate non-linear models, try Biogeme, which is more flexible in form and can be used for almost any model structure. If you don’t know what the difference is, you probably want to start with linear models.

This project is very much under development. There are plenty of undocumented functions and features; use them at your own risk. Undocumented features may be non-functional, not rigorously tested, deprecated or removed without notice in a future version. If a function or method is documented, it is intended to be stable in future updates.

FAQ

Why is the Windows download so much larger than the Mac download?

The Windows wheel include the openblas library for linear algebra computations. The Mac version does not need an extra library because Mac OS X includes vector math libraries by default.

It is not working. Can you troubleshoot for me?

Are you using the 64 bit (amd64) version of Python? Larch is only compiled for 64 bit at present.

For some unknown reason, certain mathematical tools are not available on PyPI as wheels for Windows. You will need to download numpy, scipy, and pandas and install them manually.

You may also need to install the Microsoft Visual C++ 2015 <https://www.microsoft.com/en-us/download/details.aspx?id=48145> redistributable libraries. Future versions of Larch may include these for you.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

larch-3.1.36-cp35-none-win_amd64.whl (14.0 MB view hashes)

Uploaded CPython 3.5 Windows x86-64

larch-3.1.36-cp35-cp35m-macosx_10_6_intel.whl (5.8 MB view hashes)

Uploaded CPython 3.5m macOS 10.6+ intel

larch-3.1.36-cp34-cp34m-macosx_10_6_x86_64.whl (5.5 MB view hashes)

Uploaded CPython 3.4m macOS 10.6+ x86-64

Supported by

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