Probability & Statistics Packages
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GLM.jl538Generalized linear models in Julia
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Civecm.jl8Cointegration in Vector Error Correction Models in Julia
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Distributions.jl987A Julia package for probability distributions and associated functions.
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HypothesisTests.jl258Hypothesis tests for Julia
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TimeSeries.jl318Time series toolkit for Julia
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BloomFilters.jl18Bloom filters in Julia
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StatsBase.jl525Basic statistics for Julia
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Rmath.jl15Archive of functions that emulate R's d-p-q-r functions for probability distributions
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TopicModels.jl36TopicModels for Julia
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MixedModels.jl369A Julia package for fitting (statistical) mixed-effects models
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RobustStats.jl15A collection of robust statistical tests in Julia
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Regression.jl60Algorithms for regression analysis (e.g. linear regression and logistic regression)
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QuantileRegressions.jl38Quantile regression in Julia
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DiscriminantAnalysis.jl9Regularized discriminant analysis in Julia.
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FeldtLib.jl1Misc julia code that have not yet found its home in a package...
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DirichletProcessMixtures.jl13Dirichlet Process Mixture Models in Julia
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GaussianMixtures.jl85Large scale Gaussian Mixture Models
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GaussDCA.jl19Multivariate Gaussian Direct Coupling Analysis for residue contact prediction in protein families - Julia module
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KernelEstimator.jl25The julia package for nonparametric density estimate and regression
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SmoothingKernels.jl2Smoothing kernels for use in kernel regression and kernel density estimation
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StatsKit.jl131Convenience meta-package to load essential packages for statistics
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ParallelSparseRegression.jl11-
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KernSmooth.jl9Local polynomial regression and density estimation in Julia.
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Isotonic.jl10-
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MultivariateStats.jl344A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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LARS.jl24Least angle regression and the lasso covariance test
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KernelDensity.jl150Kernel density estimators for Julia
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CurveFit.jl69Simple least squares and curve fitting functions
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Jags.jl12Julia package for using Jags as an external program
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BayesEstDiffusion.jl4Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
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CauseMap.jl16Causal inference in non-linear dynamics systems
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PValueAdjust.jl16[deprecated] P-value adjustment methods for multiple testing correction
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Mamba.jl253Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
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Divergences.jl9A Julia package for evaluation of divergences between distributions
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FactorModels.jl9-
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FreqTables.jl83Frequency tables in Julia
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Stan.jl197Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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ManifoldLearning.jl82A Julia package for manifold learning and nonlinear dimensionality reduction
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BayesNets.jl215Bayesian Networks for Julia
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Distances.jl376A Julia package for evaluating distances (metrics) between vectors.
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