Showing 5 open source projects for "safe"

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  • 1

    JDistlib

    Java library of statistical distribution

    A Java package that provides routines for various statistical distributions. Based on R version 2.14.1 (continuously updated; current as of R v3.3.0). The major difference is that JDistlib is thread safe. 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. ...
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  • 2

    Jafaran

    Fast and more random implementations of java.util.Random.

    Jafaran (Java Fast Random) provides fast, and for some more random, implementations of java.util.Random, with additional nextXXX() methods, and methods to retrieve and restore state. The names of implementations contain "Conc" (for concurrent) if they are thread-safe and non-blocking, or "Seq" (for sequential) if they are not thread-safe. Also provides an implementation of Ziggurat algorithm (based on J. A. Doornik paper, 2005), used by nextGaussian() methods of the provided implementations. Requires Java 5 or later. Also available on github since 2015/12/13: https://github.com/jeffhain/jafaran Principal classes: - Implementations using Mersenne-Twister algorithm (good pseudo-randomness): MTSyncRNG MTSeqRNG - Implementations using Marsaglia Xor-Shift (fast): MXSIntSeqRNG (32 bits) MXSLongSeqRNG (64 bits) (nextLong() faster, larger period) - Ziggurat: Random-based implementation of Ziggurat algorithm.
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  • 3
    SAFEGUI is a graphical interface to the safe R package which performs resampling based categorical significance testing for gene expression data.
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  • 4
    The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
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  • 5
    A disk based production quality RTree based upon Guttman’s quadratic split algorithm having following features: Buffering with dirty write, Index joins, Tree Seeding, Window and NN queries, Runtime STR Packing capability, Completely Thread safe.
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