R packages in Colab - either speed up install, or import library?

This page summarizes the projects mentioned and recommended in the original post on /r/GoogleColab

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  • rstan

    RStan, the R interface to Stan

  • I have a Colab notebook with an R kernel that I'm using to share with students for remote lessons in statistics. This notebook relies on "rstanarm", which is pretty massive with the number of dependencies - it takes ~50minutes to install into a fresh Colab session with install.packages(). It seems the issue is that many of the dependencies of this package need to be compiled from source, which takes a long time on Linux distributions like Colab.

  • Psyc158

    online textbook for Pomona College course Psych 158 - Intro to Stats for Psych Science

  • Is there any way to load a tarball of this library from a sharable link in my drive, or a github link? I've uploaded the tarball to my github repo, but untar() seems unable to recognize it as a valid tarball.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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