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Releases: ajwills72/catlearn

Version 1.1

31 Mar 12:33

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This is a maintenance release.

Version 1.0

05 Apr 06:54

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Catlearn reaches 1.0! Thanks to all those who helped development over the last seven years.

Version 0.9.3

06 Oct 06:29

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Add slpDGCM

Version 0.9.2

22 Sep 15:24

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slpSUSTAIN updated to include probability of identifying item as 'old'

Version 0.9.1

28 Mar 13:27

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Version 0.9.1 of the 'catlearn' package is now available.

Catlearn is an archive of thirteen formal models of categorization and
learning. It's free and open source software ... and always will be. It has
been downloaded 32,000 times.

Version 0.9.1 is an upgrade release with two new models (Models 4 and 5 from
Paskewitz & Jones, 2020), and (non-breaking) improvements to the Gluck & Bower
(1988) implementation.

Catlearn is a package for R, and is very easy to install within that
environment. Make sure you're running the latest version of R, and then type:

install.packages('catlearn')

and then

library(catlearn).

For a tutorial introduction to catlearn, and the Open Models initiative more
generally, see Wills et al. (2017). There is also information here:

https://andywills.info/catlearn

Thanks to all the contributors to catlearn, and particular thanks to Lenard
Dome who contributed new code for the version 0.9.1 release.

All the best

Andy
2022-03-28

Wills, A.J., O'Connell, G., Edmunds, C.E.R., & Inkster, A.B.(2017). Progress in
modeling through distributed collaboration: Concepts, tools, and
category-learning examples. The Psychology of Learning and Motivation

Version 0.8.3

18 Jan 08:55

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Minor fix for edge case installation bug

Version 0.8.2

10 Jan 14:00

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Minor enhancements to slpLMSnet

Version 0.8.1

05 Jan 11:55

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slpNNCAG and slpNNRAS added, implements Models 4 and 5 from Paskewitz & Jones (2020)

Version 0.7.1

10 Oct 10:38

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Stable version 0.7.1 ("Gooey Chocolate") release candidate, uploaded to CRAN for checking.

Version 0.6.5

03 Oct 13:06

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slpSUSTAIN upgraded - now can do unsupervised category learning, too.
Two utility functions added: convertSUSTAIN, medin87train