myFitter - A Python framework for global fits
The myFitter package is a Python module which provides a convenient, object oriented (frequentist) statistical analysis framework for globals fits and hypothesis tests. Its main feature is an improved method for the numerical computation of p-values in non-linear regression models based on importance sampling. Additional features are:
The algorithms implemented in myFitter are discussed in
If you use myFitter for a scientific publication, please cite this article.
Installation and requirements
myFitter requires Python 2.7 and the following packages:
myFitter uses the setuptools build system. After downloading the source tarball myFitter-x.y.tar.gz you can install myFitter in your home directory with
tar -zxvf myFitter-x.y.tar.gz
myFitter was initially written as a C++ class library. You can download the old C++ code below, but please note that this code is no longer maintained.
Please send bugreports to Martin Wiebusch