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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

Turing

Turing: Probabilistic programming in Julia.

4

GLM

Generalized linear models in Julia

5

StatsBase

Basic statistics for 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

OnlineStats

Online algorithms for statistics.

10

Stan

Julia package to use Stan as an external program

11

Distances

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

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

Pandas

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

19

NullableArrays

Prototype of the new JuliaStats NullableArrays package

20

SVM

SVM's for Julia

21

FixedEffectModels

Linear and IV models with high dimensional categorical variables

22

Distance

Julia module for Distance evaluation

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

Stochy

Probabilistic Programming in Julia

30

CauseMap

Causal inference in non-linear dynamics systems