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Top Packages Pkgs

1

DataFrames

Library for working with tabular data in Julia

2

Distributions

A Julia package for probability distributions and associated functions.

3

GLM

Generalized linear models in Julia

4

StatsBase

Basic statistics for Julia

5

Turing

Turing: Probabilistic programming in Julia.

6

MLBase

A set of functions to support the development of machine learning algorithms

7

MixedModels

A Julia package for fitting (statistical) mixed-effects models

8

DataFramesMeta

Metaprogramming tools for DataFrames

9

Stan

Julia package to use Stan as an external program

10

Distances

A Julia package for evaluating distances(metrics) between vectors.

11

OnlineStats

Online algorithms for statistics.

12

LowRankModels

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

13

Sigma

Sigma is a probabilistic programming environment implemented in Julia

14

HypothesisTests

Hypothesis tests for Julia

15

DataArrays

Data structures that allow missing values

16

StreamStats

Compute statistics over data streams in pure Julia

17

PGM

A Julia framework for probabilistic graphical models.

18

NullableArrays

Prototype of the new JuliaStats NullableArrays package

19

Pandas

A Julia front-end to Python's Pandas package.

20

SVM

SVM's for Julia

21

Distance

Julia module for Distance evaluation

22

FixedEffectModels

Linear and IV models with high dimensional categorical variables

23

TopicModels

TopicModels for Julia

24

DimensionalityReduction

Deprecated in favor of MultivariateStats.jl

25

Bootstrap

Statistical bootstrapping library for Julia

26

ManifoldLearning

A Julia package for manifold learning and nonlinear dimensionality reduction

27

PValueAdjust

[deprecated] P-value adjustment methods for multiple testing correction

28

JointMoments

Tensors and statistics for joint central moments.

29

CauseMap

Causal inference in non-linear dynamics systems

30

Stochy

Probabilistic Programming in Julia