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  2. Just another Gibbs sampler - Wikipedia

    en.wikipedia.org/wiki/Just_another_Gibbs_sampler

    Just another Gibbs sampler (JAGS) is a program for simulation from Bayesian hierarchical models using Markov chain Monte Carlo (MCMC), developed by Martyn Plummer. JAGS has been employed for statistical work in many fields, for example ecology, management, and genetics.

  3. Programming with Big Data in R - Wikipedia

    en.wikipedia.org/wiki/Programming_with_Big_Data_in_R

    Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...

  4. Bisimulation - Wikipedia

    en.wikipedia.org/wiki/Bisimulation

    Typically, if the state transition system gives the operational semantics of a programming language, then the precise definition of bisimulation will be specific to the restrictions of the programming language. Therefore, in general, there may be more than one kind of bisimulation (respectively bisimilarity) relationship depending on the context.

  5. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    Data filtering: Use either R code or a drag-and-drop GUI to select cases of interest. Create columns: Use either R code or a drag-and-drop GUI to create new variables or compute them from existing ones. Copy tables in LaTeX format. Formula editing, Plot editing, Raincloud plots. PDF, HTML etc. export of results.

  6. Poisson binomial distribution - Wikipedia

    en.wikipedia.org/wiki/Poisson_binomial_distribution

    An R package poibin was provided along with the paper, [13] which is available for the computing of the cdf, pmf, quantile function, and random number generation of the Poisson binomial distribution. For computing the PMF, a DFT algorithm or a recursive algorithm can be specified to compute the exact PMF, and approximation methods using the ...

  7. Generalized additive model - Wikipedia

    en.wikipedia.org/wiki/Generalized_additive_model

    gam, an R package for GAMs by backfitting. gam, Python module in statsmodels.gam module. InterpretML, a Python package for fitting GAMs via bagging and boosting. mgcv, an R package for GAMs using penalized regression splines. mboost, an R package for boosting including additive models. gss, an R package for smoothing spline ANOVA.

  8. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  9. Erdős–Rényi model - Wikipedia

    en.wikipedia.org/wiki/Erdős–Rényi_model

    A graph generated by the binomial model of Erdős and Rényi (p = 0.01) In the (,) model, a graph is chosen uniformly at random from the collection of all graphs which have nodes and edges. The nodes are considered to be labeled, meaning that graphs obtained from each other by permuting the vertices are considered to be distinct.