• Latent GOLD

  • Referenced in 94 articles [sw11673]
  • Latent GOLD® 4.0 User’s Guide. Latent classes are unobservable (latent) subgroups or segments. Cases ... within the same latent class are homogeneous on certain criteria, while cases in different latent ... other in certain important ways. Formally, latent classes are represented by K distinct categories ... based on continuous latent variables. Latent class (LC) analysis was originally introduced by Lazarsfeld...
  • e1071

  • Referenced in 115 articles [sw07985]
  • Statistics (e1071), TU Wien. Functions for latent class analysis, short time Fourier transform, fuzzy clustering...
  • poLCA

  • Referenced in 25 articles [sw11801]
  • package poLCA: Polytomous Variable Latent Class Analysis. Latent class analysis and latent class regression models...
  • R-INLA

  • Referenced in 86 articles [sw08014]
  • nested Laplace approximation to a class of near-Gaussian latent models. This work extends...
  • lcmm

  • Referenced in 13 articles [sw13207]
  • package lcmm: Extended Mixed Models Using Latent Classes and Latent Processes: Estimation of various extensions ... mixed models including latent class mixed models, joint latent latent class mixed models and mixed...
  • prefmod

  • Referenced in 22 articles [sw08190]
  • missing values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating...
  • BayesLCA

  • Referenced in 10 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...
  • MultiLCIRT

  • Referenced in 14 articles [sw11284]
  • package MultiLCIRT: Multidimensional Latent Class Item Response Theory Models. Framework for the Item Response Theory ... 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...
  • HMMTree

  • Referenced in 8 articles [sw08991]
  • HMMTree: A computer program for latent-class hierarchical multinomial processing tree models. Latent-class hierarchical ... introduced as a means of implementing latent-class hierarchical multinomial processing tree models. HMMTree computes...
  • CDM

  • Referenced in 13 articles [sw15877]
  • item response model and the structured latent class model (SLCA...
  • TAM

  • Referenced in 5 articles [sw13950]
  • Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent ... Class Models). Latent regression models and plausible value imputation are also supported...
  • 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...
  • pcalg

  • Referenced in 90 articles [sw06072]
  • Algorithm. The equivalence class is represented by its (unique) Completete Partially Directed Acyclic Graph (CPDAG ... CPDAG can be estimated if latent variables and/or selection variables are assumed to be present...
  • PROC LTA

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

  • Referenced in 6 articles [sw15183]
  • Integrated Complete-Data Likelihood of a Latent Class Model. Uses a finite mixture model...
  • gmnl

  • Referenced in 5 articles [sw23110]
  • with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model...
  • RSGHB

  • Referenced in 5 articles [sw23112]
  • Nested Logit, Error Components Logit and Latent Class) as well ordered response models like ordered...
  • bfa

  • Referenced in 25 articles [sw07430]
  • generalizing to non-Gaussian measured variables, the latent variables typically influence both the dependence structure ... novel class of Bayesian Gaussian copula factor models that decouple the latent factors from...
  • Mata

  • Referenced in 4 articles [sw24829]
  • programs. Mata has the structures, pointers, and classes that you expect in your programming language ... Mata. This includes multilevel modeling, latent class analysis, Bayesian estimation, and even the core algorithms...
  • randomLCA

  • Referenced in 4 articles [sw16276]
  • randomLCA. Fits standard and random effects latent class models. The single level random effects model...