individual.traits: Estimate the latent traits.
In SICSresearch/IRTpp: Estimating IRT Parameters using the IRT Methodology

Description Usage Arguments Value Examples

Estimate the latent traits of the individuals in a test with some given item parameters.

1 2	individual.traits(model, itempars, method, dataset = NULL, probability_matrix = NULL)

`model`	The model used to calibrate the parameters.
`itempars`	The item parameters for the model in matrix form.
`method`	The method for estimating the traits, may be "EAP" or "MAP".
`dataset`	The matrix with the responses from the individuals.
`probability_matrix`	The probability matrix in case it does not need to be recalculated.

A list with the patterns and the estimated latent traits.

## Simulation data for the model "3pl"
# data <- simulateTest(model = "3PL", items = 100, individuals = 1000)
## Estimation of the parameters
# est <- irtpp(data$test, model = "3PL")
## Parameter Matrix 
# z <- parameter.matrix(est$z)
#trait <- individual.traits(model = "3PL", itempars = z, dataset = data$test,
#                  method = "EAP", probability_matrix = est$prob_mat)