# Naive Discriminative Learning

## Documentation for package ‘ndl’ version 0.2.18

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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.