| ndl-package | Naive Discriminative Learning |
| acts2probs | Calculate probability matrix from activation matrix, as well as predicted values |
| anova.ndlClassify | Analysis of Model Fit for Naive Discriminatory Reader Models |
| anova.ndlClassifylist | Analysis of Model Fit for Naive Discriminatory Reader Models |
| crosstableStatistics | Calculate statistics for a contingency table |
| cueCoding | code a vector of cues as n-grams |
| danks | Example data from Danks (2003), after Spellman (1996). |
| dative | Dative Alternation |
| estimateActivations | Estimation of the activations of outcomes (meanings) |
| estimateWeights | Estimation of the association weights using the equilibrium equations of Danks (2003) for the Rescorla-Wagner equations. |
| estimateWeightsCompact | Estimation of the association weights using the equilibrium equations of Danks (2003) for the Rescorla-Wagner equations using a compact binary event file. |
| learn | Count cue-outcome co-occurences needed to run the Danks equations. |
| learnLegacy | Count cue-outcome co-occurrences needed to run the Danks equations. |
| lexample | Lexical example data illustrating the Rescorla-Wagner equations |
| modelStatistics | Calculate a range of goodness of fit measures for an object fitted with some multivariate statistical method that yields probability estimates for outcomes. |
| ndl | Naive Discriminative Learning |
| ndlClassify | Classification using naive discriminative learning. |
| ndlCrossvalidate | Crossvalidation of a Naive Discriminative Learning model. |
| ndlCuesOutcomes | Creation of dataframe for Naive Discriminative Learning from formula specification |
| ndlStatistics | Calculate goodness of fit statistics for a naive discriminative learning model. |
| ndlVarimp | Permutation variable importance for classification using naive discriminative learning. |
| numbers | Example data illustrating the Rescorla-Wagner equations as applied to numerical cognition by Ramscar et al. (2011). |
| orthoCoding | Code a character string (written word form) as letter n-grams |
| plot.ndlClassify | Plot function for selected results of 'ndlClassify'. |
| plot.ndlProbabilities | Plot function for selected results of 'ndlClassify'. |
| plot.ndlWeights | Plot function for selected results of 'ndlClassify'. |
| plot.RescorlaWagner | Plot function for the output of 'RescorlaWagner'. |
| plurals | Artificial data set used to illustrate the Rescorla-Wagner equations and naive discriminative learning. |
| predict.ndlClassify | Predict method for ndlClassify objects |
| print.ndlClassify | Classification using naive discriminative learning. |
| print.summary.ndlClassify | A summary of a Naive Discriminatory Learning Model |
| print.summary.ndlCrossvalidate | A summary of a crossvalidation of a Naive Discriminatory Reader Model |
| random.pseudoinverse | Calculate an approximation of the pseudoinverse of a matrix. |
| RescorlaWagner | Implementation of the Rescorla-Wagner equations. |
| serbian | Serbian case inflected nouns. |
| serbianLex | Serbian lexicon with 1187 prime-target pairs. |
| serbianUniCyr | Serbian case inflected nouns (in Cyrillic Unicode). |
| serbianUniLat | Serbian case inflected nouns (in Latin-alphabet Unicode). |
| summary.ndlClassify | A summary of a Naive Discriminatory Learning Model |
| summary.ndlCrossvalidate | A summary of a crossvalidation of a Naive Discriminatory Reader Model |
| think | Finnish 'think' verbs. |