Showing 18 open source projects for "tests"

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  • 1
    statsmodels

    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. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all of the one-parameter exponential family distributions. ...
    Downloads: 1 This Week
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  • 2

    Practically Random

    statistical tests & psuedo- random number generators (RNGs, PRNGs)

    Randon number generation & testing. The best suite of statistical tests for fast PRNGs anywhere. Multithreaded for speed, command line tools for automation, no upper limit on data size. Also, a variety of C++ pseudo-random number generators with well designed interfaces aimed at practical uses, not just research.
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    Downloads: 328 This Week
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  • 3
    AtteStat

    AtteStat

    The package for statistical data analysis and applied mathematics

    Less means - more power. AtteStat is an add-in for desktop versions of the Microsoft Excel. Winner of contest Microsoft Office Extensions (PC Magazine RE) in 2006. Registered 2002-05-23 with the Federal Service for Intellectual Property. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU...
    Downloads: 9 This Week
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  • 4
    StatAnt

    StatAnt

    The package for statistical data analysis

    Aspire to perfection. StatAnt is a standalone cross-platform application for statistical data analysis. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU RESIDENTS: This software is NOT compliant with EU regulations, including GDPR and the AI Act. It is not intended for use within the...
    Downloads: 1 This Week
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    Criterial

    Criterial

    The package for statistical data analysis and applied mathematics

    Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU...
    Downloads: 1 This Week
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  • 6

    ntx

    Neutrality tests using the SNP site frequency spectrum

    Tests on "neutrality" are designed to detect systematic deviations from chance patterns in genetic data. This tool computes for a given SNP site frequency spectrum some standard test statistics like Tajima's D, Fay & Wu's H, etc. Additionally, the user may adapt the tests to specific demographies by specifying non-standard first and secondary moments.
    Downloads: 0 This Week
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  • 7
    Power Analytics for Excel

    Power Analytics for Excel

    Data Science made available for Excel

    This plugin for Excel comes with statistical methods such as Muliple Regression, Analysis of Variance (ANOVA) and Distribution Tests.
    Downloads: 2 This Week
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  • 8
    KMWin

    KMWin

    Kaplan-Meier for Windows

    KMWin (Kaplan-Meier for Windows) is a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis. The programme is based on the statistical software environment R and provides an easy to use graphical interface. As an introduction, see http://dx.plos.org/10.1371/journal.pone.0038960#s2.
    Downloads: 1 This Week
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  • 9
    PANDA-view

    PANDA-view

    An easy-to-use tool for data visualization and statistical analysis

    PANDA-view, an affiliated tool of PANDA, includes the methods for differentially expressed protein detection, missing value imputation and the parametric and non-parametric statistical tests. Meanwhile, the most commonly-used data visualization methods are also implemented in PANDA-view.
    Downloads: 5 This Week
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  • 10

    JDistlib

    Java library of statistical distribution

    ...The library contains the density (pdf), cumulative (cdf), quantile, and random number generator (RNG) routines of the following distributions: Ansari, Beta, Binomial, Cauchy, Chi square, Exponential, Fisher's F, Gamma, Geometric, Hypergeometric, Kendall, Logistic, Log normal, Negative binomial, Noncentral beta, Noncentral chi square, Noncentral f, Noncentral t, Normal, Poisson, Sign Rank, Spearman, Student's T, Tukey, Uniform, Weibull, Wilcoxon, and many more. Normality tests, such as: Kolmogorov-Smirnov, Anderson-Darling, Cramer-Von Mises, D'Agostino-Pearson, Jarque Bera, Kolmogorov-Lilliefors, Shapiro-Francia, Shapiro-Wilk. And many others.
    Downloads: 0 This Week
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  • 11
    JStats

    JStats

    JStats is a Java application/applet for statistical testing.

    JStats is a small but powerful Java application/applet for conducting statistical tests. The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient, Spearman Rank correlation, linear regression * Confidence intervals test * Outliers: Generalized Extreme Studentized (ESD) test, outliers in ANOVA The latest version is available as applet on http://aiguy.org/Statistics.html
    Downloads: 0 This Week
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  • 12
    Statcato
    Statcato is a Java software application for elementary statistics. Its features include data and graph generation, probability distributions, descriptive statistics, confidence intervals, hypothesis tests, correlation, regression, and analysis of var
    Downloads: 0 This Week
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  • 13
    RVASSOC is a simple program for performing various tests for association between genotypes and disease status using sequence variants from unrelated cases and controls. It was designed to accommodate both rare variants and missing genotypes.
    Downloads: 0 This Week
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  • 14
    KinetDS is a software for curve fitting particularly designed for kinetic (mechanistic and empirical) description of a substance dissolution from solid state. It was primarily designed for handling pharmaceutical dissolution tests
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    Downloads: 17 This Week
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  • 15
    SimulME
    SimulME is a Java ME (J2ME) application with Queueing calculator, Stopwatch, Monte Carlo simulation, Random Number Generator (RNG), Probability distributions, Kolmogorov-Smirnov and Chi-square tests. It works with MIDP 2.0 and CLDC 1.1 profiles.
    Downloads: 0 This Week
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  • 16
    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: 0 This Week
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  • 17

    Polyhedral Power Curve

    Generate a power curve for tests of fairness for polyhedral dice.

    Generates a power curve for a Pearson's chi-square test for polyhedral dice given the number of faces on the die and the number of "rolls" to generate.
    Downloads: 0 This Week
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  • 18

    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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