ndl: Naive Discriminative Learning

Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations and their equilibrium equations.

Install the latest version of this package by entering the following in R:
install.packages("ndl")
AuthorAntti Arppe [aut], Peter Hendrix [aut], Petar Milin [aut], R. Harald Baayen [aut], Tino Sering [aut, cre], Cyrus Shaoul [aut]
Date of publication2015-11-18 09:38:06
MaintainerTino Sering <konstantin.sering@uni-tuebingen.de>
LicenseGPL-3
Version0.2.17

View on CRAN

Man pages

acts2probs: Calculate probability matrix from activation matrix, as well...

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...

estimateWeightsCompact: Estimation of the association weights using the equilibrium...

learn: Count cue-outcome co-occurences needed to run the Danks...

learnLegacy: Count cue-outcome co-occurrences needed to run the Danks...

lexample: Lexical example data illustrating the Rescorla-Wagner...

modelStatistics: Calculate a range of goodness of fit measures for an object...

ndlClassify: Classification using naive discriminative learning.

ndlCrossvalidate: Crossvalidation of a Naive Discriminative Learning model.

ndlCuesOutcomes: Creation of dataframe for Naive Discriminative Learning from...

ndl.package: Naive discriminative learning: an implementation in R

ndlStatistics: Calculate goodness of fit statistics for a naive...

ndlVarimp: Permutation variable importance for classification using...

numbers: Example data illustrating the Rescorla-Wagner equations as...

orthoCoding: Code a character string (written word form) as letter n-grams

plot.ndlClassify: 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...

predict.ndlClassify: Predict method for ndlClassify objects

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...

think: Finnish 'think' verbs.

Functions

acts2probs Man page
anova.ndlClassify Man page
anova.ndlClassifylist Man page
crosstableStatistics Man page
cueCoding Man page
danks Man page
dative Man page
estimateActivations Man page
estimateWeights Man page
estimateWeightsCompact Man page
learn Man page
learnLegacy Man page
lexample Man page
modelStatistics Man page
ndl Man page
ndlClassify Man page
ndlCrossvalidate Man page
ndlCuesOutcomes Man page
ndl.package Man page
ndlStatistics Man page
ndlVarimp Man page
numbers Man page
orthoCoding Man page
plot.ndlClassify Man page
plot.ndlProbabilities Man page
plot.ndlWeights Man page
plot.RescorlaWagner Man page
plurals Man page
predict.ndlClassify Man page
print.ndlClassify Man page
print.summary.ndlClassify Man page
print.summary.ndlCrossvalidate Man page
random.pseudoinverse Man page
RescorlaWagner Man page
serbian Man page
serbianLex Man page
serbianUniCyr Man page
serbianUniLat Man page
summary.ndlClassify Man page
summary.ndlCrossvalidate Man page
think Man page

Files

inst
inst/scripts
inst/scripts/ndl.preproc.py
inst/scripts/tiny.test.corpus.txt
src
src/Makevars
src/Makevars.win
src/RcppExports.cpp
src/learn.module.cpp
NAMESPACE
NEWS
data
data/danks.rda
data/dative.rda
data/serbian.rda
data/numbers.rda
data/think.rda
data/serbianLex.rda
data/serbianUniCyr.rda
data/lexample.rda
data/plurals.rda
data/serbianUniLat.rda
R
R/modelStatistics.R R/ndlCuesOutcomes.R R/random.pseudoinverse.R R/predict.ndlClassify.R R/RescorlaWagner.R R/ndl.package.R R/ndlClassify.R R/orthoCoding.R R/estimateActivations.R R/estimateWeights.R R/RcppExports.R R/plot.RescorlaWagner.R R/crosstableStatistics.R R/acts2probs.R R/anova.ndlClassify.R R/estimateWeightsCompact.R R/ndlVarimp.R R/summary.ndlCrossvalidate.R R/plot.ndlClassify.R R/ndlStatistics.R R/ndlCrossvalidate.R R/cueCoding.R R/summary.ndlClassify.R
README.md
MD5
DESCRIPTION
man
man/danks.Rd man/RescorlaWagner.Rd man/lexample.Rd man/ndlStatistics.Rd man/estimateWeightsCompact.Rd man/serbian.Rd man/plot.RescorlaWagner.Rd man/ndlClassify.Rd man/dative.Rd man/serbianUniLat.Rd man/ndlVarimp.Rd man/crosstableStatistics.Rd man/ndlCrossvalidate.Rd man/acts2probs.Rd man/ndlCuesOutcomes.Rd man/summary.ndlCrossvalidate.Rd man/predict.ndlClassify.Rd man/modelStatistics.Rd man/random.pseudoinverse.Rd man/estimateActivations.Rd man/orthoCoding.Rd man/plot.ndlClassify.Rd man/numbers.Rd man/cueCoding.Rd man/plurals.Rd man/estimateWeights.Rd man/learnLegacy.Rd man/serbianUniCyr.Rd man/anova.ndlClassify.Rd man/serbianLex.Rd man/learn.Rd man/think.Rd man/ndl.package.Rd man/summary.ndlClassify.Rd

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