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pypm install acor

How to install acor

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install acor
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
1.0.2 Failed View build log
1.0.0 Failed View build log
Windows (64-bit)
1.0.2Never BuiltWhy not?
1.0.0 Failed View build log
Mac OS X (10.5+)
1.0.2 Available View build log
1.0.0 Available View build log
Linux (32-bit)
1.0.2 Available View build log
1.0.0 Available View build log
Linux (64-bit)
1.0.2 Available View build log
1.0.0 Available View build log
 
License
MIT
Dependencies
Imports
Lastest release
version 1.0.2 on Nov 20th, 2012

This is a direct port of a C++ routine by Jonathan Goodman (NYU) called ACOR that estimates the autocorrelation time of time series data very quickly.

Dan Foreman-Mackey (NYU) made a few surface changes to the interface in order to write a Python wrapper (with the permission of the original author).

Installation

Just run

pip install acor

with sudo if you really need it.

Otherwise, download the source code as a tarball or clone the git repository from GitHub:

git clone https://github.com/dfm/acor.git

Then run

cd acor
python setup.py install

to compile and install the module acor in your Python path. The only dependency is NumPy (including the python-dev and python-numpy-dev packages which you might have to install separately on some systems).

Usage

Given some time series x, you can estimate the autocorrelation time (tau) using:

import acor
tau, mean, sigma = acor.acor(x)

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Last updated Nov 20th, 2012

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