read.flexmirt |
Read a flexMIRT PRM file |
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.fit |
Calculate item and person Rasch fit statistics |
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.1dim.lmp-class |
Unidimensional logistic function of a monotonic polynomial. |
rpf.1dim.moment |
Calculate cell central moments |
rpf.1dim.residual |
Calculate residuals |
rpf.1dim.stdresidual |
Calculate standardized residuals |
rpf.base-class |
The base class for response probability functions. |
rpf.dLL |
Item parameter derivatives |
rpf.dLL-method |
Item parameter derivatives |
rpf.drm |
Create a dichotomous response model |
rpf.dTheta |
Item derivatives with respect to the location in the latent space |
rpf.dTheta-method |
Item derivatives with respect to the location in the latent space |
rpf.grm |
Create a graded response model |
rpf.id_of |
Convert an rpf item model name to an ID |
rpf.info |
Map an item model, item parameters, and person trait score into a information vector |
rpf.lmp |
Create logistic function of a monotonic polynomial (LMP) model |
rpf.logprob |
Map an item model, item parameters, and person trait score into a probability vector |
rpf.logprob-method |
Map an item model, item parameters, and person trait score into a probability vector |
rpf.mcm |
Create a multiple-choice response model |
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.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.mean.info |
Find the point where an item provides mean maximum information |
rpf.mean.info1 |
Find the point where an item provides mean maximum information |
rpf.modify |
Create a similar item specification with the given number of factors |
rpf.modify-method |
Create a similar item specification with the given number of factors |
rpf.nrm |
Create a nominal response model |
rpf.numParam |
Length of the item parameter vector |
rpf.numParam-method |
Length of the item parameter vector |
rpf.numSpec |
Length of the item model vector |
rpf.numSpec-method |
Length of the item model vector |
rpf.ogive |
The ogive constant |
rpf.paramInfo |
Retrieve a description of the given parameter |
rpf.paramInfo-method |
Retrieve a description of the given parameter |
rpf.prob |
Map an item model, item parameters, and person trait score into a probability vector |
rpf.prob-method |
Map an item model, item parameters, and person trait score into a probability vector |
rpf.rescale |
Rescale item parameters |
rpf.rescale-method |
Rescale item parameters |
rpf.rparam |
Generates item parameters |
rpf.rparam-method |
Generates item parameters |
rpf.sample |
Randomly sample response patterns given a list of items |
rpf_dLL_wrapper |
Item parameter derivatives |
rpf_dTheta_wrapper |
Item derivatives with respect to the location in the latent space |
rpf_logprob_wrapper |
Map an item model, item parameters, and person trait score into a probability vector |
rpf_numParam_wrapper |
Length of the item parameter vector |
rpf_numSpec_wrapper |
Length of the item model vector |
rpf_paramInfo_wrapper |
Retrieve a description of the given parameter |
rpf_prob_wrapper |
Map an item model, item parameters, and person trait score into a probability vector |
rpf_rescale_wrapper |
Rescale item parameters |