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Given the output from est_multi_poly_clust, it is written in a readable form
● Data Source:
CranContrib
● Keywords:
● Alias: print.est_multi_poly_clust
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search.model
(Package: MultiLCIRT) :
Search for the global maximum of the log-likelihood
It search for the global maximum of the log-likelihood given a vector of possible number of classes to try for.
● Data Source:
CranContrib
● Keywords: model selection
● Alias: search.model
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MultiLCIRT-package
(Package: MultiLCIRT) :
Multidimensional Latent Class (LC) Item Response Theory (IRT) Models
This package provides a flexible framework for the Item Response Theory (IRT) analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of latent traits (abilities). Every level of the abilities identify a latent class of subjects. The fitting algorithms are based on the Expectation-Maximization (EM) paradigm and allow for missing responses and for different item parameterizations. The package also allows for the inclusion individual covariates affecting the class weights.
● Data Source:
CranContrib
● Keywords: package
● Alias: MultiLCIRT-package
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matr_glob
(Package: MultiLCIRT) :
Matrices to compute generalized logits
It provides the matrices used to compute a vector of generalized logits on the basis of a vector of probabilities according to the formula Co*log(Ma*p); this is an internal function.
● Data Source:
CranContrib
● Keywords:
● Alias: matr_glob
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compare_models
(Package: MultiLCIRT) :
Compare different models fitted by est_multi_poly
Given different outputs provided by est_multi_poly, the function compare the different models providing a unified table.
● Data Source:
CranContrib
● Keywords:
● Alias: compare_models
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standard.matrix
(Package: MultiLCIRT) :
Standardization of a matrix of support points on the basis of a vector of probabilities
Given a matrix of support points X and a corresponding vector of probabilities piv it computes the mean for each dimension, the variance covariance matrix, the correlation matrix, Spearman correlation matrix, and the standarized matrix Y
● Data Source:
CranContrib
● Keywords: multivariate statistics
● Alias: standard.matrix
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Given the output from class_item, it is written in a readable form
● Data Source:
CranContrib
● Keywords:
● Alias: print.class_item
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print.test_dim
(Package: MultiLCIRT) :
Print the output of test_dim object
Given the output from test_dim, it is written in a readable form
● Data Source:
CranContrib
● Keywords:
● Alias: print.test_dim
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Given the output from class_item, it is written in a readable form
● Data Source:
CranContrib
● Keywords:
● Alias: summary.class_item
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est_multi_poly_clust
(Package: MultiLCIRT) :
Estimate multidimensional and multilevel LC IRT model for dichotomous and polytomous responses
The function performs maximum likelihood estimation of the parameters of the IRT models assuming a discrete distribution for the ability and a discrete distribution for the latent variable at cluster level. Every ability level corresponds to a latent class of subjects in the reference population. Maximum likelihood estimation is based on Expectation- Maximization algorithm.
● Data Source:
CranContrib
● Keywords: Expectation-Maximization algorithm, maximum likelihood estimation
● Alias: est_multi_poly_clust
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