GetKernelParameterNames

a matrix of size (nitems X nattributes) that specifies which items are required for mastery of each attribute (i.e., latent variable)

qmatrix

nattributes

a string value of <code>DCM</code>, <code>DINA</code>, <code>CRUM</code>, <code>DINO</code>,
<code>NIDO</code>, <code>NCRUM</code>.
If not specified then the default will be set to  <code>DCM</code>

model.type


Kernel Parameter Names for all DCM Models
Given a Q-matrix and model type it generates item and structural parameter names. These are kernel parameters:
item thresholds (<code>lambdas</code>) and latent variable thresholds (<code>gammas</code>)


Analysis of dichotomous response data to obtain attribute profile
estimates for respondents using Diagnostic Classification Model (DCM) and
Markov Chain Monte Carlo (MCMC) method. The estimation procedure uses a
loglinear cognitive diagnostic modeling (LDCM) framework that allows for
the estimation of a host of DCMs such as NIDO, NIDA, NC-RUM etc.

Diane Losardo

dcmr

Attribute profile estimation using Diagnostic Classification
Models and MCMC

GetKernelParameterNames function

Kernel Parameter Names for all DCM Models
Given a Q-matrix and model type it generates item and structural parameter names. These are kernel parameters:
item thresholds (<code>lambdas</code>) and latent variable thresholds (<code>gammas</code>)

GetKernelParameterNames: Kernel Parameter Names for all DCM Models Given a Q-matrix and model type it generates item and structural parameter names. These are kernel parameters: item thresholds (`lambdas`) and latent variable thresholds (`gammas`)

Description

Usage

Arguments

Value

Examples