Showing 66 open source projects for "statistical"

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  • 1
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    ...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. Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. ...
    Downloads: 0 This Week
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  • 2

    FreDec

    Parallelized FREquency DEComposer algorithm

    ...The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. In the end, it prints out the set of largest frequency tuples that were still found significant. The GPU computing is implemented through CUDA and brings a significant performance increase. It is still possible to run FreDec solely on CPU, if no suitable GPU device is available in the system. See the details of the underlying theory in Baluev 2013, MNRAS, V. 436, P. 807 The description of the algorithm itself can be found in arXiv:1309.0100. ...
    Downloads: 0 This Week
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  • 3
    Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
    Downloads: 0 This Week
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  • 4
    Myrtle

    Myrtle

    A simple programmable spreadsheet for learning statistics.

    Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available.
    Downloads: 29 This Week
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  • 5

    r2web

    Software for medical statistics based on R

    The open source software R enables a large number of statistical analyzes. The software R2web allows to use those R functions that are useful for medical students, with a web interface that facilitates the work of the student (it replaces line commands in R with checkboxes, radio buttons, etc. ). Un logiciel en ligne pour les statistiques pour la médecine, basé sur R. Le logiciel open source R permet de faire un grand nombre d'analyses statistiques.
    Downloads: 0 This Week
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  • 6
    Statistical models with python using numpy and scipy. Currently covers linear regression (with ordinary, generalized and weighted least squares), robust linear regression, and generalized linear model, discrete models, time series analysis and other statistical methods.
    Downloads: 4 This Week
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  • 7
    M-S Lab

    M-S Lab

    Math-Statistics LABoratory

    M-S Lab is a free software for statistical computing and graphics. M-S Lab is available in two distributions: The built-in language support is implemented in "Own" version. And for users who like to code in Lua scripting language we made a "Lua" version. Both versions are available for free download in the Downloads page.
    Downloads: 0 This Week
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  • 8

    libcomposition

    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.
    Downloads: 0 This Week
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  • 9
    STATPerl (Statistics with Perl) is a free Statistical Software based on Perl. Perl source codes for various statistical analysis are given with it. User can add new analysis and edit existing one. An inbuilt Perl IDE comes with it.
    Downloads: 0 This Week
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  • 10
    This project adds a ribbon to excel with a number of statistical buttons. This is not intended to be a full statistical analysis package (like R), but only a source for quick visualizations and calculations. For Excel2007 and up
    Downloads: 0 This Week
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  • 11
    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.
    Downloads: 0 This Week
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  • 12
    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.
    Downloads: 0 This Week
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  • 13
    RESULTS (RESULTS Evaluates Statistics Using Less Time and Space) is a lightweight, open-source statistical software package that provides similar functionality to other proprietary statistics packages.
    Downloads: 2 This Week
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  • 14
    An application to perform statistical clustering analysis
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  • 15
    PYthon RELiabilitY A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes.
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  • 16

    Statastizard

    Statistics Wizard

    Statastizard(c)2012 Nick Emblow is a program designed to guide its user into the right statistical test, perform the test, and report the results in a meaningful way. The idea of this is that the user won't actually need to know that they are using a mann-whitney U over a t-test, for example - it just tests for normality and homoscedastic of variance, and decides which test to use, then reports the results. Why? Because time after time, people come to me with some test that they've done that they think "proves" something - when in reality they've either not done a comparative test to start with (ex. a correlation), failed to test for confounding factors (such as normality etc) and as a result, failed to appropriately identify even the right test to do.
    Downloads: 0 This Week
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