• LISREL

  • Referenced in 303 articles [sw06514]
  • theoretical models for observed and latent (unobservable) variables. If data are collected for the observed...
  • Latent GOLD

  • Referenced in 90 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 373 articles [sw12177]
  • unobserved confounders of measured variables, to search for models of latent structure, and to search...
  • pcalg

  • Referenced in 78 articles [sw06072]
  • CPDAG can be estimated if latent variables and/or selection variables are assumed to be present...
  • lavaan

  • Referenced in 54 articles [sw07227]
  • equation modeling. Fit a variety of latent variable models, including confirmatory factor analysis, structural equation...
  • ltm

  • Referenced in 38 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 20 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 22 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 11 articles [sw07416]
  • high-dimensional integrals for use in latent variable models. We also review the literature...
  • leapp

  • Referenced in 8 articles [sw11213]
  • applied to counter the effects of latent variables on the rankings of hypotheses. The estimation...
  • Venture

  • Referenced in 8 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...
  • lavaan.survey

  • Referenced in 5 articles [sw11938]
  • factor analysis, multivariate regression models with latent variables and many other latent variable models while...
  • clustMD

  • Referenced in 10 articles [sw25059]
  • variables) using a parsimonious mixture of latent Gaussian variable models...
  • GeSCA

  • Referenced in 7 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...
  • LVPLS

  • Referenced in 6 articles [sw22949]
  • LVPLS 1.6 program manual: latent variables path analysis with partial least-squares estimation...
  • MplusAutomation

  • Referenced in 4 articles [sw11281]
  • language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable...
  • Attribute2Image

  • Referenced in 3 articles [sw24589]
  • layered generative model with disentangled latent variables that can be learned end-to-end using ... generating realistic and diverse samples with disentangled latent representations. We use a general energy ... minimization algorithm for posterior inference of latent variables given novel images. Therefore, the learned generative...
  • WarpPLS

  • Referenced in 4 articles [sw18264]
  • identify nonlinear functions connecting pairs of latent variables in SEM models and calculate multivariate coefficients...
  • AMIDST

  • Referenced in 4 articles [sw21741]
  • billion nodes and approx. $75%$ latent variables using a computer cluster with 128 processing units...