Probability & Statistics Packages
-
GLM.jl587Generalized linear models in Julia
-
Civecm.jl9Cointegration in Vector Error Correction Models in Julia
-
Distributions.jl1102A Julia package for probability distributions and associated functions.
-
HypothesisTests.jl296Hypothesis tests for Julia
-
TimeSeries.jl353Time series toolkit for Julia
-
BloomFilters.jl18Bloom filters in Julia
-
StatsBase.jl584Basic statistics for Julia
-
Rmath.jl16Archive of functions that emulate R's d-p-q-r functions for probability distributions
-
TopicModels.jl38TopicModels for Julia
-
MixedModels.jl402A Julia package for fitting (statistical) mixed-effects models
-
RobustStats.jl19A collection of robust statistical tests in Julia
-
Regression.jl62Algorithms for regression analysis (e.g. linear regression and logistic regression)
-
QuantileRegressions.jl41Quantile regression in Julia
-
DiscriminantAnalysis.jl9Regularized discriminant analysis in Julia.
-
FeldtLib.jl1Misc julia code that have not yet found its home in a package...
-
DirichletProcessMixtures.jl14Dirichlet Process Mixture Models in Julia
-
GaussianMixtures.jl98Large scale Gaussian Mixture Models
-
GaussDCA.jl21Multivariate Gaussian Direct Coupling Analysis for residue contact prediction in protein families - Julia module
-
KernelEstimator.jl27The julia package for nonparametric density estimate and regression
-
SmoothingKernels.jl2Smoothing kernels for use in kernel regression and kernel density estimation
-
StatsKit.jl139Convenience meta-package to load essential packages for statistics
-
ParallelSparseRegression.jl12-
-
KernSmooth.jl9Local polynomial regression and density estimation in Julia.
-
Isotonic.jl10-
-
MultivariateStats.jl375A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
-
LARS.jl25Least angle regression and the lasso covariance test
-
KernelDensity.jl177Kernel density estimators for Julia
-
CurveFit.jl77Simple least squares and curve fitting functions
-
Jags.jl17Julia package for using Jags as an external program
-
BayesEstDiffusion.jl4Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
-
CauseMap.jl16Causal inference in non-linear dynamics systems
-
PValueAdjust.jl16[deprecated] P-value adjustment methods for multiple testing correction
-
Mamba.jl253Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
-
Divergences.jl9A Julia package for evaluation of divergences between distributions
-
FactorModels.jl9-
-
FreqTables.jl88Frequency tables in Julia
-
Stan.jl211Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
-
ManifoldLearning.jl92A Julia package for manifold learning and nonlinear dimensionality reduction
-
BayesNets.jl217Bayesian Networks for Julia
-
Distances.jl425A Julia package for evaluating distances (metrics) between vectors.
Loading more...