mcplR: Multiple Cue Probability Learning in R

mcplR offers a flexible (S4) framework to investigate multiple cue probability learning (MCPL). mcplR incorporates a number of learning models (Rescorla-Wagner, GCM, ALCOVE, etc) in a general state-space framework, where new models can be easily added.

Author
Maarten Speekenbrink <m.speekenbrink@ucl.ac.uk>
Date of publication
2016-04-13 11:37:11
Maintainer
Maarten Speekenbrink <m.speekenbrink@ucl.ac.uk>
License
GPL (>=2)
Version
0.3-1
URLs

View on R-Forge

Man pages

AICc
Corrected Akaike Information Criterion
ALCOVE
Attention Learning COVEring map model (ALCOVE)
ALCOVElearning
Attention Learning COVEring map model (ALCOVE)
canRepar-methods
Reparametrization methods
ConstraintsList-class
Parameter constraints
fit-methods
Fit a model (estimate model parameters).
GaussianMixtureResponse
Generate a Gaussian Mixture Response model
GaussianMixtureResponse-class
Class "GaussianMixtureResponse"
GaussianResponse-class
Class "GaussianResponse"
gcm
Generalized Context Model
ggcm
generalized Generalized Context Model
GlmResponse
Generate a Generalized Linear Model (GLM) Response model
GlmResponse-class
Class "GlmResponse"
MaxResponse
Maximising responses with error
MaxResponse-class
Class "MaxResponse"
McplBaseModel
Class "McplBaseModel"
McplModel
McplModel
McplModel-class
Class "McplModel"
mcplR
mcplR: Multiple Cue Probability Learning models in R
mcplr-internal
mcplR internal functions, methods and classes.
ParStruct
Parameter structure objects
ParStruct-class
Class "ParStruct"
RatioRuleResponse-class
Class "RatioRuleResponse"
rescorlaWagner
Rescorla-Wagner Model
Rsq
R-Squared
runm-methods
Run a model over the data.
simulate
simulate
slfn
Single Layer Feedforward Network
SMPT
Stock Market Prediction Task
WPT
Weather Prediction Task data

Files in this package

mcplR/COPYING
mcplR/DESCRIPTION
mcplR/NAMESPACE
mcplR/R
mcplR/R/AICc.R
mcplR/R/ALCOVE.R
mcplR/R/Constraints.R
mcplR/R/GCM.R
mcplR/R/GaussianMixtureResponse.R
mcplR/R/GaussianResponse.R
mcplR/R/GlmResponse.R
mcplR/R/LearningModel.R
mcplR/R/MaxResponse.R
mcplR/R/McplBaseModel.R
mcplR/R/McplModel.R
mcplR/R/NTimes.R
mcplR/R/ParStruct.R
mcplR/R/RatioRuleResponse.R
mcplR/R/RescorlaWagner.R
mcplR/R/ResponseModel.R
mcplR/R/SLFN.R
mcplR/R/TransParStruct.R
mcplR/R/allGenerics.R
mcplR/R/bdiag.R
mcplR/R/classes.R
mcplR/R/gGCM.R
mcplR/R/mcplprepare.R
mcplR/R/multinomial.R
mcplR/R/relist.R
mcplR/R/utils.R
mcplR/R/zzz.R
mcplR/README
mcplR/data
mcplR/data/SMPT.rda
mcplR/data/WPT.rda
mcplR/man
mcplR/man/AICc.Rd
mcplR/man/ALCOVE.Rd
mcplR/man/ALCOVElearning.Rd
mcplR/man/ConstraintsList-class.Rd
mcplR/man/GaussianMixtureResponse-class.Rd
mcplR/man/GaussianMixtureResponse.Rd
mcplR/man/GaussianResponse-class.Rd
mcplR/man/GlmResponse-class.Rd
mcplR/man/GlmResponse.Rd
mcplR/man/MaxResponse-class.Rd
mcplR/man/MaxResponse.Rd
mcplR/man/McplBaseModel.Rd
mcplR/man/McplModel-class.Rd
mcplR/man/McplModel.Rd
mcplR/man/ParStruct-class.Rd
mcplR/man/ParStruct.Rd
mcplR/man/RatioRuleResponse-class.Rd
mcplR/man/Rsq.Rd
mcplR/man/SMPT.Rd
mcplR/man/WPT.Rd
mcplR/man/canRepar-methods.Rd
mcplR/man/fit-methods.Rd
mcplR/man/gcm.Rd
mcplR/man/ggcm.Rd
mcplR/man/mcplR.Rd
mcplR/man/mcplr-internal.Rd
mcplR/man/rescorlaWagner.Rd
mcplR/man/runm-methods.Rd
mcplR/man/simulate.Rd
mcplR/man/slfn.Rd
mcplR/src
mcplR/src/gcm.c
mcplR/src/slfn.c