
e1071
 Referenced in 98 articles
[sw07985]
 Statistics (e1071), TU Wien. Functions for latent class analysis, short time Fourier transform, fuzzy clustering...

Latent GOLD
 Referenced in 93 articles
[sw11673]
 Formally, latent classes are represented by K distinct categories of a nominal latent variable ... Since the latent variable is categorical, LC modeling differs from more traditional latent variable approaches ... such as factor analysis, structural equation models, and randomeffects regression models that ... based on continuous latent variables. Latent class (LC) analysis was originally introduced by Lazarsfeld...

poLCA
 Referenced in 24 articles
[sw11801]
 package poLCA: Polytomous Variable Latent Class Analysis. Latent class analysis and latent class regression models...

BayesLCA
 Referenced in 8 articles
[sw16118]
 package BayesLCA: Bayesian Latent Class Analysis. Bayesian Latent Class Analysis using several different methods ... provides tools for performing latent class analysis within a Bayesian setting. Three methods for fitting...

LCA
 Referenced in 4 articles
[sw12068]
 Procedures for Latent Class Analysis & Latent Transition Analysis. PROC LCA and PROC ... procedures for latent class analysis (LCA) and latent transition analysis (LTA) developed by the Methodology ... process data, fit a variety of latent class and latent transition models, and postprocess...

PROC LTA
 Referenced in 6 articles
[sw36352]
 transition analysis, a longitudinal extension of latent class analysis, is a method that...

TAM
 Referenced in 4 articles
[sw13950]
 package TAM: Test Analysis Modules. Includes marginal and joint maximum likelihood estimation ... Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent...

Mata
 Referenced in 4 articles
[sw24829]
 Mata. This includes multilevel modeling, latent class analysis, Bayesian estimation, and even the core algorithms...

MultiLCIRT
 Referenced in 14 articles
[sw11284]
 Multidimensional Latent Class Item Response Theory Models. Framework for the Item Response Theory analysis ... assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing ... ExpectationMaximization paradigm. Individual covariates affecting the class weights may be included...

LCAvarsel
 Referenced in 1 article
[sw24497]
 package LCAvarsel: Variable Selection for Latent Class Analysis. Variable selection for latent class analysis ... also be included in the latent class analysis model. The selection procedure...

LCA Stata Plugin
 Referenced in 1 article
[sw20806]
 Latent Class Analysis (LCA) Stata Plugin. The LCA Stata plugin was developed by the Methodology ... allow Stata users to perform latent class analysis (LCA). The plugin makes it possible ... process data, fit a variety of latent class models, and postprocess the results without...

VarSelLCM
 Referenced in 6 articles
[sw15183]
 Latent Class Model. Uses a finite mixture model for performing the cluster analysis with variable...

ACTCD
 Referenced in 2 articles
[sw16980]
 cluster analysis techniques can be used to classify examinees into latent classes based on their...

MLCIRTwithin
 Referenced in 2 articles
[sw15563]
 package MLCIRTwithin: Latent Class Item Response Theory (LCIRT) Models under WithinItem Multidimensionality. Framework ... Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within ... item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses ... ExpectationMaximization paradigm. Individual covariates affecting the class weights may be included...

HETMIXSURV
 Referenced in 1 article
[sw21070]
 HETMIXSURV. A Fortran90 program for the analysis of multivariate curvilinear possibly heterogeneous longitudinal outcomes ... cause timetoevent: a latent process and latent class approach...

POE
 Referenced in 2 articles
[sw08359]
 associated with these classes. Here we present a statistical analysis approach to facilitate both ... idea is to model gene expression using latent categories that can be interpreted...

statlearn
 Referenced in 1 article
[sw26563]
 Maximum Likelihood estimators, EM algorithm for latent class models, Conjugate Gradient descent other probabilty models ... Bayesian Classifiers), including Linear and Quadratic Discriminant Analysis, Mixture Discriminant Analysis; Model Selection, using Cross...

IPSILON
 Referenced in 1 article
[sw21606]
 scheme, is investigated. Based upon a new class of multidimensional incremental parsing algorithm, extended from ... linguistic processing technique, namely the latent semantic analysis (LSA) method, is then employed to identify...

TBAPS
 Referenced in 1 article
[sw00951]
 terminalrestriction fragment length polymorphism (TRFLP) analysis are often applied in the studies ... into account by developing a Bayesian latent class mixture model for the observations...

ATLAS
 Referenced in 197 articles
[sw00056]
 This paper describes the Automatically Tuned Linear Algebra...