28 Packages since 2012
User Packages
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Distributions.jl1102A Julia package for probability distributions and associated functions.
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GLM.jl587Generalized linear models in Julia
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StatsBase.jl584Basic statistics for Julia
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Distances.jl425A Julia package for evaluating distances (metrics) between vectors.
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MixedModels.jl402A Julia package for fitting (statistical) mixed-effects models
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MultivariateStats.jl375A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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Clustering.jl353A Julia package for data clustering
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TimeSeries.jl353Time series toolkit for Julia
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HypothesisTests.jl296Hypothesis tests for Julia
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StatsModels.jl248Specifying, fitting, and evaluating statistical models in Julia
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StatsFuns.jl232Mathematical functions related to statistics.
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MLBase.jl186A set of functions to support the development of machine learning algorithms
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KernelDensity.jl177Kernel density estimators for Julia
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RDatasets.jl160Julia package for loading many of the data sets available in R
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Lasso.jl143Lasso/Elastic Net linear and generalized linear models
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StatsKit.jl139Convenience meta-package to load essential packages for statistics
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PDMats.jl104Uniform Interface for positive definite matrices of various structures
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Loess.jl103Local regression, so smooooth!
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GLMNet.jl94Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
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NMF.jl91A Julia package for non-negative matrix factorization
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LogExpFunctions.jl74Julia package for various special functions based on `log` and `exp`.
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Survival.jl73Survival analysis in Julia
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Statistics.jl70The Statistics stdlib that ships with Julia.
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DataArrays.jl53DEPRECATED: Data structures that allow missing values
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ConjugatePriors.jl46A Julia package to support conjugate prior distributions.
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StatsAPI.jl17A statistics-focused namespace for packages to share functions
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RegERMs.jl16DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia
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Rmath.jl16Archive of functions that emulate R's d-p-q-r functions for probability distributions
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