The ndl2 package contains a fast implementation of the Rescorla-Wagner model of learning (read about the RW model here) and of the Danks equilibrium weights equations (read the paper here).

The original paper that describes this model can be downloaded from here. You should use this paper as a citation when reporting ndl models calculated by ndl2: Baayen, R. H., Milin, P., Filipovic Durdevic, D., Hendrix, P. and Marelli, M. (2011), An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review 118, 438-482.

See the R documentation for more information and examples on how to use ndl2. Have a look into the doc folder for install instructions and if you are interested in the development of ndl2. We hope to add a very extensive vignette to the package in the near future.

There is a python version called pyndl, which added learning for continues inputs and outputs and has easier support for huge weight matrices and Unicode.