
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 nonGaussian 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 threeway 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 nonparametric 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 nonlinear 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 bifactor and twotier 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 loglikelihood 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...