Calibrating Parameters for the Samejima's Continuous IRT Model
This package includes the tools to estimate item and
person parameters for the Samejima's Continuous Response Model
(CRM) via Marginal Maximum Likelihood and EM algorithm, to
compute item fit residual statistics, to draw empirical 3D item
category response curves, to draw theoretical 3D item category
response curves, and to generate data under the CRM for
simulation studies.

This package contains functions to estimate item and
person parameters for the Samejima's Continuous Response Model
(CRM), to compute item fit residual statistics, to draw
empirical 3D item category response curves, to draw theoretical
3D item category response curves, and to generate data under
the CRM for simulation studies.

The EstCRM package estimates item and person parameters
for the Samejima's Continuous Response Model (CRM), computes
item fit residual statistics, draws empirical 3D item category
response curves, draws theoretical 3D item category response
curves, and generates data under the CRM for simulation
studies.

Estimates item and person parameters for the Samejima's Continuous Response Model (CRM), computes item fit residual statistics, draws empirical 3D item category response curves, draws theoretical 3D item category response curves, and generates data under the CRM for simulation studies.

Estimates item and person parameters for the Continuous Response Model (CRM; Samejima, 1973, <doi:10.1007/BF02291114>), computes item fit residual statistics, draws empirical 3D item category response curves, draws theoretical 3D item category response curves, and generates data under the CRM for simulation studies.

Estimation of Heritability in High Dimensional Sparse Linear
Mixed Models using Variable Selection
Our method is a variable selection method to select active components in sparse linear mixed models in order to estimate the heritability. The selection allows us to reduce the size of the data sets which improves the accuracy of the estimations. Our package also provides a confidence interval for the estimated heritability.