• Latent GOLD

  • Referenced in 92 articles [sw11673]
  • differs from more traditional latent variable approaches such as factor analysis, structural equation models ... regression models that are based on continuous latent variables. Latent class (LC) analysis was originally...
  • lavaan

  • Referenced in 54 articles [sw07227]
  • variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth...
  • bfa

  • Referenced in 20 articles [sw07430]
  • copula factor models for mixed data. Gaussian factor models have proven widely useful for parsimoniously ... mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent trait models ... generalizing to non-Gaussian measured variables, the latent variables typically influence both the dependence structure ... copula factor models that decouple the latent factors from the marginal distributions. A semiparametric specification...
  • PARAFAC

  • Referenced in 20 articles [sw14789]
  • straightforward generalization of the bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr ... model: if the latent factors show adequately distinct patterns of three-way variation, the model...
  • FarmTest

  • Referenced in 5 articles [sw31555]
  • package FarmTest: Factor Adjusted Robust Multiple Testing. Performs robust multiple testing for means ... presence of known and unknown latent factors. It implements a series of adaptive Huber methods...
  • SOFAR

  • Referenced in 4 articles [sw31665]
  • network structures via layers of sparse latent factors ranked by importance. Yet sparsity and orthogonality...
  • BayesFM

  • Referenced in 2 articles [sw17545]
  • factor loading matrix. The number of latent factors, as well as the allocation...
  • factorstochvol

  • Referenced in 1 article [sw31446]
  • package factorstochvol: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models. Markov chain Monte Carlo ... sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving...
  • Alors

  • Referenced in 1 article [sw19071]
  • initial instance representation, whereas CF builds latent factors to describe algorithms and instances, and uses ... linear modeling of the latent factors based on the initial instance representation, extending the linear...
  • slfm

  • Referenced in 1 article [sw30052]
  • package slfm: Tools for Fitting Sparse Latent Factor Model Set of tools to find coherent ... microarray data using a Bayesian Sparse Latent Factor Model - SLFM; see Duarte and Mayrink...
  • FarmSelect

  • Referenced in 1 article [sw32319]
  • through factor models. By separating the latent factors from idiosyncratic components, the problem is transformed...
  • mcfa

  • Referenced in 1 article [sw25601]
  • loadings before the transformation of the latent factors to be white noise. It is designed...
  • GeoMF

  • Referenced in 1 article [sw25054]
  • Particularly, we augment users’ and POIs’ latent factors in the factorization model with activity area...
  • dSprites

  • Referenced in 1 article [sw31840]
  • generated from 6 ground truth independent latent factors. These factors are color, shape, scale, rotation ... sprite. All possible combinations of these latents are present exactly once, generating N = 737280 total...
  • spBFA

  • Referenced in 1 article [sw31476]
  • introduced in the columns of the factor loadings matrix using a Bayesian non-parametric prior ... Temporal correlation is introduced for the latent factors through a hierarchical structure...
  • LambdaMF

  • Referenced in 1 article [sw17493]
  • LambdaMF: Learning nonsmooth ranking functions in matrix factorization using lambda. This paper emphasizes optimizing ranking ... unlimited norm growing of the latent factors in a matrix factorization model. We further create...
  • NeuRec

  • Referenced in 1 article [sw29800]
  • combine non-linear transformation with latent factors. We further design two variants of NeuRec: user...
  • mirt

  • Referenced in 22 articles [sw13479]
  • polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory ... stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item...
  • GLLAMM

  • Referenced in 34 articles [sw06517]
  • package Stata and estimates GLLAMMs (Generalized Linear Latent And Mixed Models) by maximum likelihood ... case of discrete random effects or factors, the marginal log-likelihood is evaluated exactly whereas...
  • lavaan.survey

  • Referenced in 5 articles [sw11938]
  • equation models (SEM) including factor analysis, multivariate regression models with latent variables and many other...