From d4535d8798fdc44336bbce1cd9401d81b42a4c8f Mon Sep 17 00:00:00 2001 From: Ben Fulcher Date: Wed, 29 Jan 2025 09:47:20 +1100 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 320731d90..ba782c43e 100644 --- a/README.md +++ b/README.md @@ -31,17 +31,17 @@ Once downloaded, you can install _hctsa_ by running the `install.m` script (see -## Documentation and Wiki 📖 +## Documentation 📖 __Comprehensive documentation__ for _hctsa_, from getting started through to more advanced analyses is on [GitBook](https://time-series-features.gitbook.io/hctsa-manual/). -There is also alot of additional information on the [__wiki__](https://github.com/benfulcher/hctsa/wiki/), including: +There is also alot of additional information in these docs, including: - :point_right: Information about alternative feature sets (including the much faster [catch22](https://github.com/DynamicsAndNeuralSystems/catch22)), and information about other time-series packages available in R, python, and Julia. - :wavy_dash: The accompanying time-series data archive for this project, [_CompEngine_](http://www.comp-engine.org). - :floppy_disk: Downloadable _hctsa_ feature matrices from time-series datasets with example workflows. - :computer: Resources for [distributing an _hctsa_ computation](https://github.com/benfulcher/distributed_hctsa) on a computing cluster. -- :closed_book: A [list of publications](https://github.com/benfulcher/hctsa/wiki/Publications-using-hctsa) that have used _hctsa_ to address different research questions. +- :closed_book: A list of publications that have used _hctsa_ to address different research questions. - :information_desk_person: Frequently asked questions about _hctsa_ and related feature-based time-series analyses. ## Acknowledgement :+1: