Showing 6 open source projects for "testing"

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  • 1
    FieldTrip

    FieldTrip

    The MATLAB toolbox for MEG, EEG and iEEG analysis

    ...The toolbox offers advanced analysis methods of MEG, EEG, and invasive electrophysiological data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing. It supports the data formats of all major MEG systems (CTF, Neuromag/Elekta/Megin, BTi/4D, Yokogawa/Ricoh, FieldLine) and of most popular EEG systems, and new formats can be added easily. FieldTrip contains high-level functions that you can use to construct your own analysis protocols in MATLAB. Furthermore, it easily allows methods researchers to incorporate new methods for EEG/MEG analysis.
    Downloads: 5 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: 95 This Week
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  • 3
    StatAnt

    StatAnt

    The package for statistical data analysis

    Aspire to perfection. The high performance open source package for statistical data analysis StatAnt is a standalone cross-platform application. Completely free. No donation required. StatAnt comes with absolutely no warranty. The software is not certified for use in healthcare. Please do not use this software for purposes related to diagnosing diseases or making treatment decisions.
    Downloads: 2 This Week
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  • 4
    MCPower

    MCPower

    MCPower — simple Monte Carlo power analysis for complex models

    ...It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation.
    Downloads: 24 This Week
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  • 5
    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,...
    Downloads: 0 This Week
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  • 6

    MCPerm: Monte Carlo SNP permutation

    Monte Carlo permutation method for SNP multiple test correlation

    MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). To improve the calculation speed without changing the size of the TradPerm p-value, we developed a Monte Carlo permutation (MCPerm) method as an efficient alternative to TradPerm. ...
    Downloads: 0 This Week
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