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.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.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).
chen.thissen.1997       Computes local dependence indices for all pairs
                        of items
kct                     Knox Cube Test dataset
logit                   Transform from [0,1] to the reals
ordinal.gamma           Compute the ordinal gamma association statistic
ptw2011.gof.test        Compute the P value that the observed and
                        expected tables come from the same distribution
read.flexmirt           Read a flexMIRT PRM file
rpf.1dim.fit            Calculate item and person Rasch fit statistics
rpf.1dim.moment         Calculate cell central moments
rpf.1dim.residual       Calculate residuals
rpf.1dim.stdresidual    Calculate standardized residuals
rpf.dLL                 Item parameter derivatives
rpf.dTheta              Item derivatives with respect to ability
rpf.drm                 Create a dichotomous response model
rpf.grm                 Create a graded response model
rpf.id_of               Convert an IRT item model name to an ID
rpf.info                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.mcm                 Create a multiple-choice response model
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.nrm                 Create a nominal response model
rpf.numParam            Length of the item parameter vector
rpf.numSpec             Length of the item model vector
rpf.ogive               The ogive constant
rpf.ot2000.chisq        Compute S-Chi-squared fit statistic for a set
                        of items
rpf.ot2000.chisq1       Compute S-Chi-squared fit statistic for 1 item
rpf.paramInfo           Retrieve a description of the given parameter
rpf.prob                Map an item model, item parameters, and person
                        trait score into a probability vector
rpf.rescale             Rescale item parameters
rpf.rparam              Generates item parameters
rpf.sample              Randomly sample response patterns given a list
                        of items
science                 Liking for Science dataset
unpack.2tier            Unpack a two-tier model
write.flexmirt          Write a flexMIRT PRM file
