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. |