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@@ -24,7 +24,7 @@ The statistics-resampling package is an Octave package and Matlab toolbox that c
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Try out the statistics-resampling package in your browser at [statistics-resampling-online](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb): a ready-to-go implementation of statistics-resampling in a JupyterLab Notebook with an Octave kernel. *Note that the first time (since the last repository commit) that you use statistics-resampling online with Binder you can expect it to take a while to build a docker image, but subsequent access to statistics-resampling-online will take less than a minute or so.*
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Collaborative student projects in GNU Octave can use the statistics-resampling package at [Octave-Online](https://octave-online.net/). Doing so requires users to download the latest release of the Source code (tar.gz) from [here](https://github.com/gnu-octave/statistics-resampling/releases) and follow steps 2-5 of these [instructions](https://octaveonline.uservoice.com/knowledgebase/articles/1078840-installing-custom-packages).
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Collaborative student projects in GNU Octave can use the statistics-resampling package at [Octave-Online](https://octave-online.net/). Doing so requires users to download the latest release of the Source code (.tar.gz) from [here](https://github.com/gnu-octave/statistics-resampling/releases) and follow steps 2-5 of these [instructions](https://octaveonline.uservoice.com/knowledgebase/articles/1078840-installing-custom-packages).
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Users who prefer Jupyter and have a workflow that is collaborative and/or crosses over multiple programming languages may find it more convenient to install and use the statistics-resampling package at [COCALC](https://cocalc.com/). The approach described above (for Octave-Online) also applies to installing the statistics-resampling package via a Jupyter Notebook with an Octave kernel at COCALC.
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