• e1071

  • Referenced in 104 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 random-effects 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 post-process...
  • 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 ... Expectation-Maximization 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 post-process 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 (LC-IRT) Models under Within-Item 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 ... Expectation-Maximization 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 time-to-event: 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...
  • sfaR

  • Referenced in 1 article [sw40065]
  • Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit) and cost functions ... skewed Laplace) as well as the latent class stochastic frontier model (LCM) as described...
  • 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...
  • T-BAPS

  • Referenced in 1 article [sw00951]
  • terminal-restriction fragment length polymorphism (T-RFLP) analysis are often applied in the studies ... into account by developing a Bayesian latent class mixture model for the observations...