Showing 5 open source projects for "multivariate analysis"

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  • 1
    hctsa

    hctsa

    Highly comparative time-series analysis

    hctsa is a Matlab software package for running highly comparative time-series analysis. It extracts thousands of time-series features from a collection of univariate time series and includes a range of tools for visualizing and analyzing the resulting time-series feature matrix.
    Downloads: 0 This Week
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  • 2
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). ...
    Downloads: 0 This Week
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  • 3
    HCS Analyzer

    HCS Analyzer

    High Content Screening Analyzer

    HCS Analyzer is an open source software dedicated to High Content Screening data processing and analysis.
    Downloads: 0 This Week
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  • 4
    ViStream (http://davis.wpi.edu/xmdv/downloads/) is a tool for the visual analysis of multivariate streaming data. It supports a number of computational data analysis methods and provides numerous visualizations and interactions for exploring dynamic data.
    Downloads: 0 This Week
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  • 5
    LAMBDA toolkit
    LAMBDA is a MatLab toolkit that performs multivariate autoregressive first-order data analysis. LAMBDA estimates community interactions using matrix algebra. The target audience is scientists with long-term ecological data.
    Downloads: 0 This Week
    Last Update:
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