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Update website for 0.9.1 release
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docs/README.md

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@@ -34,8 +34,8 @@ The latest stable version of catlearn contains the following:
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- DIVA (_slpDIVA_)
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- EXIT (_slpEXIT_)
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- EXIT and two 'dissected' versions thereof (_slpEXIT_, _slpNNCAG_ and _slpNNRAS_)
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- GCM (_stsimGCM_)
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- SUSTAIN (_slpSUSTAIN_)
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# Roadmap
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We aim to release version 0.9 to CRAN by 21st March 2022.
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We aim to release version 1.0 to CRAN by 28st March 2023.
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Contributions of working, tested, Rd-documented code are welcome for consideration at any time. Where code is ready for inclusion into catlearn, it will first be released to the community as an unstable point release of catlearn on github. On 7th March 2022, the latest unstable release on github will be used to check and build stable version 0.9 for release to CRAN.
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Contributions of working, tested, Rd-documented code are welcome for consideration at any time. Where code is ready for inclusion into catlearn, it will first be released to the community as an unstable point release of catlearn on github. On 14th March 2023, the latest unstable release on github will be used to check and build stable version 1.0 for release to CRAN.
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# History
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Dates of CRAN releases, along with email-list announcements (from 0.7.2, see
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[CHANGELOG](CHANGELOG.md) for more detail of changes):
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- Version 0.9.x ("Incredible Icing") _future_
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- Version 1.0.x ("Juicy Jam") _future_
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- Version 0.9.x ("Incredible Icing") _CURRENT_
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- 2022-03-28: Version 0.9.1. **stable release** on CRAN. [announcement](announce/version-0.9-email.txt).
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- 2022-03-25: Version 0.9 - Release to CRAN subsequently discovered to generate a warning when compiled with clang 14 on linux.
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- Version 0.8.x ("Harmonious honey") _CURRENT_
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- Version 0.8.x ("Harmonious honey")
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- 2022-01-18: Version 0.8.3: **unstable release** on github: edge-case installation bug fix (see changelog)
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- 2022-01-10: Version 0.8.2: slpLMSnet documentation improvements, plus addition of ratio-rule response function as an option.
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- 2022-01-05: Version 0.8.1: slpNNCAG and slpNNRAS added, implements Models 4 and 5 from Paskewitz & Jones (2020).
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- 2020-09-16: Version 0.8: **stable release** on CRAN. [announcement](announce/version-0.8-email.txt).
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- 2020-09-16: Version 0.8: stable release on CRAN. [announcement](announce/version-0.8-email.txt).
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- Version 0.7.x ("Gooey chocolate")
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docs/announce/version-0.9-email.txt

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Hi,
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Version 0.9.1 of the 'catlearn' package is now available.
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Catlearn is an archive of thirteen formal models of categorization and
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learning. It's free and open source software ... and always will be. It has
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been downloaded 32,000 times.
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Version 0.9.1 is an upgrade release with two new models (Models 4 and 5 from
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Paskewitz & Jones, 2020), and (non-breaking) improvements to the Gluck & Bower
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(1988) implementation.
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Catlearn is a package for R, and is very easy to install within that
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environment. Make sure you're running the latest version of R, and then type:
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install.packages('catlearn')
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and then
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library(catlearn).
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For a tutorial introduction to catlearn, and the Open Models initiative more
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generally, see Wills et al. (2017). There is also information here:
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https://andywills.info/catlearn
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Thanks to all the contributors to catlearn, and particular thanks to Lenard
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Dome who contributed new code for the version 0.9.1 release.
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All the best
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Andy
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2022-03-28
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Wills, A.J., O'Connell, G., Edmunds, C.E.R., & Inkster, A.B.(2017). Progress in
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modeling through distributed collaboration: Concepts, tools, and
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category-learning examples. The Psychology of Learning and Motivation

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