This is a maintenance release.

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

Add slpDGCM

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

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年03月28日

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

Minor fix for edge case installation bug

Minor enhancements to slpLMSnet

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

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

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