• LISREL

  • Referenced in 327 articles [sw06514]
  • theoretical models for observed and latent (unobservable) variables. If data are collected for the observed...
  • Latent GOLD

  • Referenced in 93 articles [sw11673]
  • distinct categories of a nominal latent variable X. Since the latent variable is categorical ... modeling differs from more traditional latent variable approaches such as factor analysis, structural equation models ... models that are based on continuous latent variables. Latent class (LC) analysis was originally introduced ... methodology was formalized and extended to nominal variables by Goodman (1974a, 1974b) who also developed...
  • TETRAD

  • Referenced in 412 articles [sw12177]
  • unobserved confounders of measured variables, to search for models of latent structure, and to search...
  • pcalg

  • Referenced in 88 articles [sw06072]
  • CPDAG can be estimated if latent variables and/or selection variables are assumed to be present...
  • GTM

  • Referenced in 57 articles [sw39434]
  • Generative Topographic Mapping. Latent variable models represent the probability density of data in a space ... smaller number of latent, or hidden, variables. A familiar example is factor analysis which ... based on a linear transformations between the latent space and the data space. In this ... introduce a form of non-linear latent variable model called the Generative Topographic Mapping...
  • lavaan

  • Referenced in 60 articles [sw07227]
  • equation modeling. Fit a variety of latent variable models, including confirmatory factor analysis, structural equation...
  • ltm

  • Referenced in 39 articles [sw07911]
  • package for latent variable modelling and item response theory analyses. The R package ... multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • logistic models using Pólya-Gamma latent variables. We propose a new data-augmentation strategy...
  • bfa

  • Referenced in 25 articles [sw07430]
  • extension to mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent ... Gaussian measured variables, the latent variables typically influence both the dependence structure and the form ... Gaussian copula factor models that decouple the latent factors from the marginal distributions. A semiparametric...
  • poLCA

  • Referenced in 24 articles [sw11801]
  • package poLCA: Polytomous Variable Latent Class Analysis. Latent class analysis and latent class regression models ... polytomous outcome variables. Also known as latent structure analysis...
  • ADMB

  • Referenced in 15 articles [sw07416]
  • high-dimensional integrals for use in latent variable models. We also review the literature...
  • Glow

  • Referenced in 11 articles [sw34245]
  • exact log-likelihood, tractability of exact latent-variable inference, and parallelizability of both training...
  • Venture

  • Referenced in 10 articles [sw14670]
  • that specifies and encapsulates primitive random variables. The SPI supports custom control flow, higher-order ... external models that do inference over latent variables hidden from Venture. Second, we describe probabilistic...
  • leapp

  • Referenced in 9 articles [sw11213]
  • applied to counter the effects of latent variables on the rankings of hypotheses. The estimation...
  • lavaan.survey

  • Referenced in 6 articles [sw11938]
  • factor analysis, multivariate regression models with latent variables and many other latent variable models while...
  • PROC CALIS

  • Referenced in 5 articles [sw12071]
  • variables (manifest variables) or unobserved hypothetical variables (latent variables). For an introduction to latent variable...
  • clustMD

  • Referenced in 11 articles [sw25059]
  • variables) using a parsimonious mixture of latent Gaussian variable models...
  • GeSCA

  • Referenced in 8 articles [sw11467]
  • cases and 100 observed variables. GeSCA currently enables users to: use Microsoft® Excel ... three different procedures. handle second-order latent variables in single-group analyses...
  • NICE

  • Referenced in 8 articles [sw29631]
  • factorized distribution, i.e., resulting in independent latent variables. We parametrize this transformation so that computing...
  • MplusAutomation

  • Referenced in 5 articles [sw11281]
  • language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable...