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| An introduction-package | rpf - Response Probability Functions |
| An introduction | rpf - Response Probability Functions |
| Class rpf.1dim | The base class for 1 dimensional response probability functions. |
| Class rpf.1dim.drm | Unidimensional dichotomous item models (1PL, 2PL, and 3PL). |
| Class rpf.1dim.gpcm | The unidimensional generalized partial credit item model. |
| Class rpf.1dim.graded | The base class for 1 dimensional graded response probability functions. |
| Class rpf.1dim.grm | The unidimensional graded response item model. |
| Class rpf.base | The base class for response probability functions. |
| Class rpf.mdim | The base class for multi-dimensional response probability functions. |
| Class rpf.mdim.drm | Multidimensional dichotomous item models (M1PL, M2PL, and M3PL). |
| Class rpf.mdim.gpcm | The multidimensional generalized partial credit item model. |
| Class rpf.mdim.graded | The base class for multi-dimensional graded response probability functions. |
| Class rpf.mdim.grm | The multidimensional graded response item model. |
| Class rpf.mdim.mcm | The multiple-choice response item model (both unidimensional and multidimensional models have the same parameterization). |
| Class rpf.mdim.nrm | The nominal response item model (both unidimensional and multidimensional models have the same parameterization). |
| rpf.1dim-class | The base class for 1 dimensional response probability functions. |
| rpf.1dim.drm-class | Unidimensional dichotomous item models (1PL, 2PL, and 3PL). |
| rpf.1dim.gpcm-class | The unidimensional generalized partial credit item model. |
| rpf.1dim.graded-class | The base class for 1 dimensional graded response probability functions. |
| rpf.1dim.grm-class | The unidimensional graded response item model. |
| rpf.base-class | The base class for response probability functions. |
| rpf.drm | Create a dichotomous response model and associated hyperparameters. |
| rpf.getLocation | Extract location related item parameters |
| rpf.getLocation-method | Extract location related item parameters |
| rpf.gpcm | Create a generalized partial credit model and associated hyperparameters. |
| rpf.grm | Create a graded response model and associated hyperparameters. |
| rpf.info | Map an item model, item parameters, and person trait score into a information vector |
| rpf.info-method | Map an item model, item parameters, and person trait score into a information vector |
| rpf.logprob | Map an item model, item parameters, and person trait score into a probability vector |
| rpf.logprob wrapper3 | Adjust the shape of the arguments for 'rpf.logprob'. |
| rpf.logprob-method | Map an item model, item parameters, and person trait score into a probability vector |
| rpf.logprob-method | Adjust the shape of the arguments for 'rpf.logprob'. |
| rpf.mcm | Create a multiple-choice response model and associated hyperparameters. |
| rpf.mdim-class | The base class for multi-dimensional response probability functions. |
| rpf.mdim.drm-class | Multidimensional dichotomous item models (M1PL, M2PL, and M3PL). |
| rpf.mdim.gpcm-class | The multidimensional generalized partial credit item model. |
| rpf.mdim.graded-class | The base class for multi-dimensional graded response probability functions. |
| rpf.mdim.grm-class | The multidimensional graded response item model. |
| rpf.mdim.mcm-class | The multiple-choice response item model (both unidimensional and multidimensional models have the same parameterization). |
| rpf.mdim.nrm-class | The nominal response item model (both unidimensional and multidimensional models have the same parameterization). |
| rpf.nrm | Create a nominal response model and associated hyperparameters. |
| rpf.ogive | The ogive constant |
| rpf.prob | Map an item model, item parameters, and person trait score into a probability vector |
| rpf.prob wrapper1 | Adjust the shape of the arguments for 'rpf.prob'. |
| rpf.prob wrapper2 | Adjust the shape of the arguments for 'rpf.prob'. |
| rpf.prob wrapper3 | Adjust the shape of the arguments for 'rpf.prob'. |
| rpf.prob wrapper4 | Implement rpf.prob in terms of 'rpf.logprob'. |
| rpf.prob wrapper5 | Implement rpf.prob in terms of 'rpf.logprob'. |
| rpf.prob-method | Map an item model, item parameters, and person trait score into a probability vector |
| rpf.prob-method | Adjust the shape of the arguments for 'rpf.prob'. |
| rpf.prob-method | Adjust the shape of the arguments for 'rpf.prob'. |
| rpf.prob-method | Adjust the shape of the arguments for 'rpf.prob'. |
| rpf.prob-method | Implement rpf.prob in terms of 'rpf.logprob'. |
| rpf.prob-method | Implement rpf.prob in terms of 'rpf.logprob'. |
| rpf.rparam | Generates item parameters |
| rpf.rparam-method | Generates item parameters |
| rpf.sample | Randomly sample response patterns given a list of items |
| rpf.setLocation | Set location related item parameters |
| rpf.setLocation-method | Set location related item parameters |
| rpf.startingParam | Initial item parameters |
| rpf.startingParam-method | Initial item parameters |