Search Results for "module"
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Showing 30 open source projects for "module"
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statsmodels
Statsmodels, statistical modeling and econometrics in Python
statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. -
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The PDL module gives standard perl the ability to COMPACTLY store and SPEEDILY manipulate the large N-dimensional data sets that are the bread and butter of scientific computing.
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Simple Python Fixed-Point Module
Pure-python binary fixed-point arithmetic library
This Python module provides basic facilities for mathematics on fixed-point numbers. The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic & functions such as sqrt, exp, log, sin & cos are available. For the latest releases please visit https://github.com/rwpenney/spfpm -
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erf
error function and related functions in pure standard Fortran 2008
Fortran 2008 added 3 new intrinsic functions: erf, erfc, erfc_scaled. However, they take only real arguments. This package provides a BSD licensed Fortran 2008 module with erf(z), where z is a complex argument. The calculation is based on calculating w(z), the Faddeyeva (plasma dispersion) function. Two algorithms are implemented: TOMS 680 and 916, http://www.netlib.org/toms/. The simple test program calculates values in the Abramowitz, Stegun. -
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runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior. -
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Opt4J
Modular Java framework for meta-heuristic optimization
...The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary meta-heuristic optimization algorithms. For this purpose, Opt4J relies on a module-based implementation and offers a graphical user interface for the configuration as well as a visualization of the optimization process. -
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wmtsa-python
Discrete wavelet methods for time series analysis using python
...However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. The code uses a mix of python and cython for improved performance. The code reflects my needs and preferences, but contributions from others are welcome. The code has to some extent been tested, but bugs are to be expected. -
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pyL1min
General purpose norm-1 minimization solver in Python
...You need to install Python, NumPy/SciPy and CVXOPT ( FFTW enabled) to use this software. The test.py program demonstrates a simple application in Compressive Sensing and shows how to use l1min module. You need to install matplotlib to plot diagrams. Note: pyL1min can handle complex as well as real vectors. -
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FluxModules
Module Computation for Metabolic Networks
Genome Scale Metabolic Networks are complex systems, Modules help to break them down and hence ease understanding and algorithmic complexity. FluxModules is a toolbox with code for module detection and module visualization. -
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PyGAO
Genetic Algorithm Optimization for Python
...Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. In addition to the standard Python libraries, PyGAO uses numpy. -
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EnvStats
An R Package for Environmental Statistics
EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. ... -
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statspy
Python module for statistics built on top of NumPy/SciPy
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A module containing python wrappers for the SUite of Non-linear DIfferential/ALgebraic Solvers (SUNDIALS), using ctypes.
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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. 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. -
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A PHP module to help perform advanced astronomical computations, such as planetary positions like those published in the astronomical almanacs.
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Computes the characters of some Demazure modules of sl2^. Namely, consider the Weyl group element w_N = ... s_0 s_1 s_0 with a total of N factors. Then we can compute the character of the Demazure module V_{w_N}(m Lambda_0).
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Python module to track the overall median of a stream of values "on-line" in reasonably efficient fashion.
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This is module for basic computation with floating point numbers. Numbers can have very wide mantissa for good precision, for realize "arbitrary-precision arithmetic". Module was adapt for BCB and MSVC compilers. Russian comments.
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Python extension module based on C-XSC (C++ Language eXtensions for Scientific Computation) and the associated Toolbox. Provides a real and complex interval arithmetic with verified results for numerical applications.
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A module for Python which provides interface to the PARI/GP computing library. We propose to write programs for PARI using Python scripting language. Python makes code much more clean, readable and manageable than the old-style PARI scripts.
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pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.
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An Ocaml module providing exact arithmetic on real numbers by internally representing them as (eventually infinite) continued fractions.
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The NetVis Module is a free open source web-based tool designed to simulate, analyze, and visualize social networks using data from csv files, online surveys, and geographically dispersed work teams. Built using php, mysql, and java for visualization.
