Man pages for mcplR
Multiple Cue Probability Learning in R
| 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 |
