RescorlaWagner          Implementation of the Rescorla-Wagner
                        equations.
acts2probs              Calculate probability matrix from activation
                        matrix, as well as predicted values
anova.ndlClassify       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-package             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.RescorlaWagner     Plot function for the output of
                        'RescorlaWagner'.
plot.ndlClassify        Plot function for selected results of
                        'ndlClassify'.
plurals                 Artificial data set used to illustrate the
                        Rescorla-Wagner equations and naive
                        discriminative learning.
predict.ndlClassify     Predict method for ndlClassify objects
random.pseudoinverse    Calculate an approximation of the pseudoinverse
                        of a matrix.
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.
