• Latent GOLD

  • Referenced in 93 articles [sw11673]
  • Formally, latent classes are represented by K distinct categories of a nominal latent ... variable X. Since the latent variable is categorical, LC modeling differs from more traditional latent ... effects regression models that are based on continuous latent variables. Latent class (LC) analysis ... Latent GOLD program. Over the same period, the related field of finite mixture (FM) models...
  • lcmm

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

  • Referenced in 63 articles [sw08014]
  • Laplace approximation to a class of near-Gaussian latent models. This work extends the integrated...
  • poLCA

  • Referenced in 24 articles [sw11801]
  • Analysis. Latent class analysis and latent class regression models for polytomous outcome variables. Also known...
  • prefmod

  • Referenced in 21 articles [sw08190]
  • LLBT) exploting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some ... values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking...
  • CDM

  • Referenced in 10 articles [sw15877]
  • item response model and the structured latent class model (SLCA...
  • HMMTree

  • Referenced in 8 articles [sw08991]
  • latent-class hierarchical multinomial processing tree models. Latent-class hierarchical multinomial models are an important ... widely used family of multinomial processing tree models, in that they allow for testing ... homogeneity assumption and provide a framework for modeling parameter heterogeneity. In this article, the computer ... means of implementing latent-class hierarchical multinomial processing tree models. HMMTree computes parameter estimates, confidence...
  • TAM

  • Referenced in 4 articles [sw13950]
  • models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class ... Analysis, Mixture Distribution IRT Models, Located Latent Class Models). Latent regression models and plausible value...
  • VarSelLCM

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

  • Referenced in 22 articles [sw07430]
  • Gaussian variables or through generalized latent trait models accommodating measurements in the exponential family. However ... 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 ... written in Mata. This includes multilevel modeling, latent class analysis, Bayesian estimation, and even...
  • gllm

  • Referenced in 3 articles [sw15073]
  • incomplete contingency tables, including some latent class models, via EM and Fisher scoring approaches. Allows...
  • randomLCA

  • Referenced in 3 articles [sw16276]
  • randomLCA. Fits standard and random effects latent class models. The single level random effects model...
  • seqHMM

  • Referenced in 2 articles [sw16137]
  • Markov models, mixture Markov models, and latent class models. The package supports models...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • latent variables. We propose a new data-augmentation strategy for fully Bayesian inference in models ... likelihoods. The approach appeals to a new class of Pólya-Gamma distributions, which are constructed...
  • LCA

  • Referenced in 4 articles [sw12068]
  • variety of latent class and latent transition models, and post-process the results without leaving...
  • covLCA

  • Referenced in 1 article [sw11798]
  • covLCA: Latent Class Models with Covariate Effects on Underlying and Measured Variables. Estimation of latent...
  • BayesLCA

  • Referenced in 8 articles [sw16118]
  • performing latent class analysis within a Bayesian setting. Three methods for fitting the model...
  • RSGHB

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