ims VS textbook

Compare ims vs textbook and see what are their differences.

ims

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app. (by OpenIntroStat)

textbook

The textbook Computational and Inferential Thinking: The Foundations of Data Science (by data-8)
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ims textbook
2 1
827 758
0.1% 1.5%
9.4 5.1
6 days ago 5 days ago
JavaScript Jupyter Notebook
GNU General Public License v3.0 or later -
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ims

Posts with mentions or reviews of ims. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-12.

textbook

Posts with mentions or reviews of textbook. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-12.
  • Introduction to Modern Statistics
    9 projects | news.ycombinator.com | 12 Oct 2023
    Hmmm ... must be because the 2nd edition is still in progress. Best option might be to follow the immortal words of Obiwan Kenobi and "use the source": https://github.com/OpenIntroStat/ims

    Otherwise you can try building a PDF from the very similar Data 8 book[1] using [2]

    [1]: https://github.com/data-8/textbook

    [2]: https://jupyterbook.org/en/stable/advanced/pdf.html

What are some alternatives?

When comparing ims and textbook you can also consider the following projects:

android_ims

jasp-desktop - JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

infernal-engine - A Tool to Build NodeJS and Web Based Expert Systems

stat-cookbook - :orange_book: The probability and statistics cookbook

tests-as-linear - Common statistical tests are linear models (or: how to teach stats)

doubango - Doubango VoIP framework

statistical-rethinking - A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.

causaldag - Python package for the creation, manipulation, and learning of Causal DAGs