estimate_mixed: Estimation of the Mixed Format Model

In Rirt: Data Analysis and Parameter Estimation Using Item Response Theory

Description

Estimate the mixed format model

Usage

model_mixed_eap(u, items, D = 1.702, priors = c(0, 1),
  bounds_t = c(-4, 4))

model_mixed_map(u, items, D = 1.702, priors = c(0, 1),
  bounds_t = c(-4, 4), iter = 30, conv = 0.001)

Arguments

u	the response data, 2d marix
items	a list of 3pl, gpcm, grm items
D	the scaling constant
priors	the prior distribution
bounds_t	the lower- and upper-bound of the parameter
iter	the maximum number of newton-raphson iterations
conv	the convergence criterion

Value

model_mixed_eap returns a list of point estimates and standard error of the ability parameters

model_mixed_map returns a list of point estimates of the ability parameters

Examples

x <- model_mixed_gendata(200, 30, 5, 5, 3)
y <- model_mixed_eap(x$u, x$items)
c('corr'=cor(x$t, y$t), 'rmse'=rmse(x$t, y$t))
x <- model_mixed_gendata(200, 30, 5, 5, 3)
y <- model_mixed_map(x$u, x$items)
c('corr'=cor(x$t, y$t), 'rmse'=rmse(x$t, y$t))

Rirt documentation built on Oct. 30, 2019, 12:13 p.m.