activity
20152022
most citedblavaan: Bayesian structural equation models via parameter expansion

279 citations · 350 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2022★ 12 cited

An information-theoretic approach to hypergraph psychometrics

Daniele Marinazzo, Jan Van Roozendaal, Fernando E. Rosas +5

Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evalua…

stat.ME2020★ 29 cited

Computation and application of generalized linear mixed model derivatives using lme4

Ting Wang, Benjamin Graves, Yves Rosseel +1

Maximum likelihood estimation of generalized linear mixed models(GLMMs) is difficult due to marginalization of the random effects. Computing derivatives of a fitted GLMM's likeliho…

stat.CO2019★ 7 cited

BFpack: Flexible Bayes Factor Testing of Scientific Theories in R

Joris Mulder, Xin Gu, Anton Olsson-Collentine +10

There has been a tremendous methodological development of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields. This development is due to…

q-bio.NC2016★ 23 cited

Lagged and instantaneous dynamical influences related to brain structural connectivity

C. Alonso-Montes, I. Diez, L. Remaki +6

Contemporary neuroimaging methods can shed light on the basis of human neural and cognitive specializations, with important implications for neuroscience and medicine. Different MR…

stat.CO2015★ 279 cited

blavaan: Bayesian structural equation models via parameter expansion

Edgar C. Merkle, Yves Rosseel

This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter…