Showing 7 open source projects for "command-line kill linux"

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  • 1

    OpenM++

    OpenM++: open source microsimulation platform

    IMPORTANT: ========== Our project home page: https://openmpp.org Our latest source code and release available at: https://github.com/openmpp/main/releases/latest Our documentation available at: https://github.com/openmpp/openmpp.github.io/wiki SourceForge files still exist for historical reason. OpenM++ is an open source microsimulation platform inspired by and compatible with Modgen. OpenM++, compared to its closed source predecessor Modgen, has advantages like portability,...
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  • 2

    libirt

    The new site is at http://psychometricon.net/libirt/

    The new site is at http://psychometricon.net/libirt/ Library of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel.
    Downloads: 0 This Week
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  • 3
    An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
    Downloads: 0 This Week
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  • 4

    Corbata

    CORe microBiome Analysis Tools

    Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples.
    Downloads: 0 This Week
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  • 5
    A collection of code, bundled into a single R package, to perform several aspects of data management, image pre-processing, data analysis and statistical inference related to the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI).
    Downloads: 0 This Week
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  • 6
    R packages supporting parallel computing.
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  • 7
    clusterCons
    An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.
    Downloads: 0 This Week
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