Showing 4 open source projects for "environment variables"

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    MVSE

    MVSE

    Estimator of climate-driven, mosquito-borne viral suitability index

    Understanding how climate dictates the timing and potential of mosquito-borne viral transmission is essential for preparedness of public health systems and design of control strategies. We developed the Mosquito-borne Viral Suitability Estimator (MVSE) software package for the R programming environment. The package estimates a suitability index based on a climate-driven mathematical expression for the basic reproductive number (R0). By accounting for local climatic variables, as well as viral, vector and human priors, suitability can be estimated for specific regions, hosts, vectors and viral species. MVSE v0.3 and v1.01r are available for download in this repo. ...
    Downloads: 0 This Week
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  • 2
    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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  • 3

    CoLabR

    A simple user interface to the R software environment.

    A simple user interface to the R software environment. It is designed for people new to R and provides the user with easy access to their variables and data along with pointers to the most basic commands. It also allows for multiple people to share data across different sessions on different machines. In this way it also offers a collaborative environment for people to work together in remote locations.
    Downloads: 0 This Week
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  • 4
    jrdistribution

    jrdistribution

    Combines R console with GUI for analysis of probability distributions.

    ...You are also able to perform more complex computing being provided R console waiting for your orders.GUI and R console are connected and you can change the probability parameters in the graphical interface and then use them in your script. Moreover, when you change appropriate variables writing an R function, you can see the GUI synchronizing with it. To use the application you should be able to run Java and have basic R environment installed. You can download it here: http://www.r-project.org/index.html JRdistribution uses RCaller library which is available here: https://code.google.com/p/rcaller/
    Downloads: 0 This Week
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