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A statistics extension for Open Office with a feel of SPSS. Primarily meant for students of social sciences as well as other in a need of easy-to-use statistics software.
...mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3.
mlpy is available both for Python >=2.6 and Python 3.X.
A C library to handle compositional (=closed) data, like proportions.
Inspired by Aitchison 2003 (http://www.amazon.com/The-Statistical-Analysis-Compositional-Data/dp/1930665784/) this library aims to make compositional data analysis rigorously.
StatsCollect is a little framework gathering statistics from external sources (social networks, web sites...), stored in pluggable backends. It can be very easily extended thanks to its plugins (currently include Facebook, Myspace, Youtube, Google).
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3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM.
Quick Start: "java -jar nen.jar"
This material enables IBM SPSS Statistics users to run code written in the R language inside Statistics.
Additional free items for R in Statistics and other materials are available from the SPSS Community at www.ibm.com/developerworks/spssdevcentral
This software computes likelihoods for infinitely-many-sites sequence data under multiple merger coalescents. The likelihood can be computed exactly or approximated via importance sampling.
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Mark Six Analyst is a database of Hong Kong Lottery or so-called Mark Six. It provides a tool of various statistics method to show relationships between data and forecasts.
A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
A population-based method for DNA copy number analysis: recurrent copy number aberration indentification in multiple samples (with no need of single-sample calling). Developed for a quick analysis of high resolution and large population data.
An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.
MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
Worst Cases is a python script that enables calculations on worst case objects. Like a calculator operating on worst cases (e.g. [1,2,3]) rather than on real numbers (2.35) WARNING: This program is released as is, and has never been extensively teste
An R package for detailed inspection and analysis of LCMS data. An R package developed by Sukhdeep Singh at Department of Surgery and Cancer, Imperial College London,UK.
A Matlab toolbox for interfacing with the pure JAVA numerical library Snifflib. This toolbox provides convenience m-files for interoperability with Snifflib from within an active Matlab session running a JAVA virtual machine.
1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.