Count cue-outcome co-occurrences needed to run the Danks equations.
Count cue-outcome co-occurrences needed to run the Danks equations.
An internal function to count cue-outcome co-occurrences.
learnLegacy(DFin,RemoveDuplicates,verbose)
Arguments
DFin: A dataframe, as defined in the documentation for estimateWeights .
RemoveDuplicates: A logical specifying whether multiple occurrences of a Cue in conjunction with an Outcome shall each be counted as a distinct occurrence of that Cue (FALSE), or only as a single occurrence (TRUE: default).
verbose: Display diagnostic messages or not.
Details
This function calls an Rcpp function of the same name to process the data in the DFin data frame.
Returns
A list of two matrices with cue-cue co-occurrences and cue-outcome co-occurrences.
References
Baayen, R. H. and Milin, P. and Filipovic Durdevic, D. and Hendrix, P. and Marelli, M., An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118, 438-482.
Author(s)
Cyrus Shaoul
Note
No temporary files are used.
Acknowledgements
Thanks to all the testers out there! Martijn, you know who you are.