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A B C D E F G L M N P R S T U W
| mcplR-package | mcplR: Multiple Cue Probability Learning models in R |
| AIC-method | Class "McplBaseModel" |
| AIC-method | Class "McplModel" |
| AIC-method | mcplR internal functions, methods and classes. |
| AICc | Corrected Akaike Information Criterion |
| AICc-method | Corrected Akaike Information Criterion |
| AICc-method | Class "McplBaseModel" |
| AICc-method | Class "McplModel" |
| ALCOVE | Attention Learning COVEring map model (ALCOVE) |
| ALCOVE-class | Attention Learning COVEring map model (ALCOVE) |
| ALCOVElearning | Attention Learning COVEring map model (ALCOVE) |
| ALCOVElearning-class | Attention Learning COVEring map model (ALCOVE) |
| BIC-method | Class "McplBaseModel" |
| BIC-method | Class "McplModel" |
| BIC-method | mcplR internal functions, methods and classes. |
| BoxConstraints-class | Parameter constraints |
| canRepar | Reparametrization methods |
| canRepar-method | Reparametrization methods |
| canRepar-methods | Reparametrization methods |
| Constraints | Parameter constraints |
| Constraints-class | Parameter constraints |
| ContinuousRescorlaWagner-class | Rescorla-Wagner Model |
| dens | Class "McplBaseModel" |
| dens-method | Class "McplBaseModel" |
| ExpRatioRuleResponse | Class "RatioRuleResponse" |
| fit | Class "McplBaseModel" |
| fit-method | Attention Learning COVEring map model (ALCOVE) |
| fit-method | Attention Learning COVEring map model (ALCOVE) |
| fit-method | Class "GaussianMixtureResponse" |
| fit-method | Class "GaussianResponse" |
| fit-method | Class "GlmResponse" |
| fit-method | Class "McplBaseModel" |
| fit-method | Class "McplModel" |
| fit-method | Class "RatioRuleResponse" |
| fit-method | Fit a model (estimate model parameters). |
| fit-method | Generalized Context Model |
| fit-method | generalized Generalized Context Model |
| fit-method | Rescorla-Wagner Model |
| fit-method | Single Layer Feedforward Network |
| fit-methods | Fit a model (estimate model parameters). |
| fixedListToVec | mcplR internal functions, methods and classes. |
| GaussianMixtureResponse | Generate a Gaussian Mixture Response model |
| GaussianMixtureResponse-class | Class "GaussianMixtureResponse" |
| GaussianResponse | Class "GaussianResponse" |
| GaussianResponse-class | Class "GaussianResponse" |
| GCM | Generalized Context Model |
| GCM-class | Generalized Context Model |
| GCMlearning-class | Generalized Context Model |
| GCMresponse-class | Generalized Context Model |
| getConstraints | Class "ParStruct" |
| getConstraints-method | Parameter constraints |
| getConstraints-method | Class "ParStruct" |
| getFreePars | Class "ParStruct" |
| getFreePars-method | Class "ParStruct" |
| getPars | Class "ParStruct" |
| getPars-method | Attention Learning COVEring map model (ALCOVE) |
| getPars-method | Attention Learning COVEring map model (ALCOVE) |
| getPars-method | Class "GaussianMixtureResponse" |
| getPars-method | Class "McplBaseModel" |
| getPars-method | Class "McplModel" |
| getPars-method | McplModel |
| getPars-method | Class "ParStruct" |
| getPars-method | Generalized Context Model |
| getPars-method | generalized Generalized Context Model |
| getPars-method | Rescorla-Wagner Model |
| getPars-method | Single Layer Feedforward Network |
| getReplication-method | Class "McplBaseModel" |
| getReplication-method | Class "McplModel" |
| getReplication-method | mcplR internal functions, methods and classes. |
| getTransPars | Reparametrization methods |
| getTransPars-method | Reparametrization methods |
| getTransPars-methods | Reparametrization methods |
| gGCM | generalized Generalized Context Model |
| gGCM-class | generalized Generalized Context Model |
| gGCMinterval-class | generalized Generalized Context Model |
| gGCMnominal-class | generalized Generalized Context Model |
| GlmResponse | Generate a Generalized Linear Model (GLM) Response model |
| GlmResponse-class | Class "GlmResponse" |
| LearningModel-class | Class "McplBaseModel" |
| lFr | mcplR internal functions, methods and classes. |
| lFr-method | generalized Generalized Context Model |
| lFr-method | mcplR internal functions, methods and classes. |
| lFr-methods | mcplR internal functions, methods and classes. |
| LinearConstraints-class | Parameter constraints |
| LinearConstraintsParStruct-class | Class "ParStruct" |
| logLik-method | Class "GaussianMixtureResponse" |
| logLik-method | Class "GaussianResponse" |
| logLik-method | Class "GlmResponse" |
| logLik-method | Class "MaxResponse" |
| logLik-method | Class "McplBaseModel" |
| logLik-method | Class "McplModel" |
| logLik-method | Class "RatioRuleResponse" |
| logLik-method | Generalized Context Model |
| logLik-method | generalized Generalized Context Model |
| MaxResponse | Maximising responses with error |
| MaxResponse-class | Class "MaxResponse" |
| mcpl.prepare | mcplR internal functions, methods and classes. |
| McplBaseModel-class | Class "McplBaseModel" |
| McplModel | McplModel |
| McplModel-class | Class "McplModel" |
| nTimes | mcplR internal functions, methods and classes. |
| NTimes-class | mcplR internal functions, methods and classes. |
| ntimes-method | Class "McplBaseModel" |
| ntimes-method | Class "McplModel" |
| ParStruct | Parameter structure objects |
| ParStruct-class | Class "ParStruct" |
| PowRatioRuleResponse | Class "RatioRuleResponse" |
| predict-method | Attention Learning COVEring map model (ALCOVE) |
| predict-method | Attention Learning COVEring map model (ALCOVE) |
| predict-method | Class "GaussianMixtureResponse" |
| predict-method | Class "GaussianResponse" |
| predict-method | Class "GlmResponse" |
| predict-method | Class "MaxResponse" |
| predict-method | Class "McplModel" |
| predict-method | Class "RatioRuleResponse" |
| predict-method | Generalized Context Model |
| predict-method | generalized Generalized Context Model |
| predict-method | Rescorla-Wagner Model |
| predict-method | Single Layer Feedforward Network |
| RatioRuleResponse | Class "RatioRuleResponse" |
| RatioRuleResponse-class | Class "RatioRuleResponse" |
| relist.factor | mcplR internal functions, methods and classes. |
| relist.NULL | mcplR internal functions, methods and classes. |
| relist.pdMat | mcplR internal functions, methods and classes. |
| rep-method | Class "ParStruct" |
| RescorlaWagner | Rescorla-Wagner Model |
| RescorlaWagner-class | Rescorla-Wagner Model |
| ResponseModel-class | Class "McplBaseModel" |
| rFl | mcplR internal functions, methods and classes. |
| rFl-method | mcplR internal functions, methods and classes. |
| rFl-methods | mcplR internal functions, methods and classes. |
| Rsq | R-Squared |
| Rsq-method | Class "McplBaseModel" |
| Rsq-method | Class "McplModel" |
| Rsq-method | R-Squared |
| runm | Class "McplBaseModel" |
| runm-method | Attention Learning COVEring map model (ALCOVE) |
| runm-method | Attention Learning COVEring map model (ALCOVE) |
| runm-method | Class "GaussianMixtureResponse" |
| runm-method | Class "McplBaseModel" |
| runm-method | Class "McplModel" |
| runm-method | Generalized Context Model |
| runm-method | generalized Generalized Context Model |
| runm-method | Rescorla-Wagner Model |
| runm-method | Run a model over the data. |
| runm-method | Single Layer Feedforward Network |
| runm-methods | Run a model over the data. |
| setConstraints | Class "ParStruct" |
| setConstraints-method | Parameter constraints |
| setConstraints-method | Class "ParStruct" |
| setFreePars | Class "ParStruct" |
| setFreePars-method | Class "ParStruct" |
| setPars | Class "ParStruct" |
| setPars-method | Attention Learning COVEring map model (ALCOVE) |
| setPars-method | Attention Learning COVEring map model (ALCOVE) |
| setPars-method | Class "GaussianMixtureResponse" |
| setPars-method | Class "McplBaseModel" |
| setPars-method | Class "McplModel" |
| setPars-method | Class "ParStruct" |
| setPars-method | Generalized Context Model |
| setPars-method | generalized Generalized Context Model |
| setPars-method | Rescorla-Wagner Model |
| setPars-method | Single Layer Feedforward Network |
| setTransPars | Reparametrization methods |
| setTransPars-method | Reparametrization methods |
| setTransPars-methods | Reparametrization methods |
| show-method | Class "McplBaseModel" |
| show-method | Class "McplModel" |
| SimpleConstraintsParStruct-class | Class "ParStruct" |
| simulate | simulate |
| simulate-method | simulate |
| SLFN | Single Layer Feedforward Network |
| SLFN-class | Single Layer Feedforward Network |
| SMPT | Stock Market Prediction Task |
| summary-method | Class "McplBaseModel" |
| summary-method | Class "McplModel" |
| TransParStruct-class | Class "ParStruct" |
| Unconstrained-class | Parameter constraints |
| WPT | Weather Prediction Task data |