StatsWithJuliaBook VS HypothesisTests.jl

Compare StatsWithJuliaBook vs HypothesisTests.jl and see what are their differences.

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StatsWithJuliaBook HypothesisTests.jl
6 1
1,059 287
- 0.0%
0.0 4.7
about 1 year ago 4 months ago
Julia Julia
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

StatsWithJuliaBook

Posts with mentions or reviews of StatsWithJuliaBook. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-09.

HypothesisTests.jl

Posts with mentions or reviews of HypothesisTests.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-23.

What are some alternatives?

When comparing StatsWithJuliaBook and HypothesisTests.jl you can also consider the following projects:

ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

Distributions.jl - A Julia package for probability distributions and associated functions.

Plots.jl - Powerful convenience for Julia visualizations and data analysis

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

BlueStyle - A Julia style guide that lives in a blue world

JLD2.jl - HDF5-compatible file format in pure Julia

DataFrames.jl - In-memory tabular data in Julia

BenchmarkTools.jl - A benchmarking framework for the Julia language

Makie.jl - Interactive data visualizations and plotting in Julia

islr-for-gis - A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.