KPDF - 0.2

Kernel-based Probability Density Function Estimation.

DESCRIPTION

• Univariate estimators
• Epanechnikov
• Biweight
• Triangular
• Multivariate estimators (with and without scaling of variates along each axis). Dimension lower or equal to three.
• Epanechnikov
• Multivariate Gaussian

It is entirely written in C to allow a fast execution, mainly for two and three dimensional estimations with several points.

PREREQUISITES

1.  Python ;-)

1.  netCDF library 3.4 or later
2.  Scientific Python, by Konrad Hinsen

COMPILATION

• make -f Makefile.pre.in boot
• make
• make install

Dec-2002. Michiel Jan Laurens de Hoon, University of Tokyo, Institute of Medical Science, has contributed a binary Windows port of the package and a setup.py script for the module and a new source distribution, which can now be compiled by the new method "python setup.py install". These files DO NOT hold additional testing files, so, python test.py will NOT work unless you download the old distribution. For Windows, the testing of high-dimensional PDFs will not be posible unless you also install Scientific.IO.NetCDF at your own risk (it will not be easy, though). The fact that the test do not work does not mean that KPDF does not work. It simply means that the regression tests can not proceed due to the lack of access to netCDF files in this platform. Thanks, Michiel.

Feb-2004. Michiel de Hoon, University of Tokyo, Institute of Medical Science, Human Genome Center (http://bonsai.ims.u-tokyo.ac.jp/~mdehoon) has contributed new installers for windows and a bugfix for the C module, so that it currently checks that an array is being passed to the code, instead of any other type of Python container. We have called this the 0.2 version of the code and here are the source distribution and the windows installers of version 0.2, kindly provided by Michiel. The source distribution contains the files for the tests:

• Source distribution: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.tar.gz
• Windows installers:
• Python 2.1: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.win32-py2.1.exe
• Python 2.2: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.win32-py2.2.exe
• Python 2.3: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.win32-py2.3.exe

DOCUMENTATION

AVAILABILITY

• Source distribution: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.tar.gz
• Windows installers:
• Python 2.1: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.win32-py2.1.exe
• Python 2.2: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.win32-py2.2.exe
• Python 2.3: http://lcdx00.wm.lc.ehu.es/~jsaenz/KPDF/KPDF-0.2.win32-py2.3.exe

Any feedback from the users of the module will be appreciated by the author.

Jon Saenz

LICENSE

CHANGE LOG

• 20000923 - Version 0.1: Added functions to create "linear" two and three dimensional grids from NumPy arrays defining a set of coordinates along each of the two or three dimensional spaces in a single call. This avoids the need to use complicated calls to map(), concatenate() and repeat() plus the definition of some lambda expressions to use inside this calls. Rest of code untouched. See documentation for details.
• 20040223 - Version 0.2: New installers for Python 2.1-Python 2.3. A new check added to the C code to verify that it is receiving proper Numeric arrays. Bug fix provided by Michiel de Hoon, University of Tokyo, Institute of Medical Science, Human Genome Center.
  

REFERENCES