Updates on CRAN: ascribe (0.2.0), baselinr (0.6.0), blavaan (0.6-1), circles (0.1.2), diffcp (0.1.2), NeuroDataSets (0.3.1), socialmixr (0.7.0), varPro (3.2.0), ymd (0.1.7)
August 23, 2026 at 2:24 AM
Updates on CRAN: ascribe (0.2.0), baselinr (0.6.0), blavaan (0.6-1), circles (0.1.2), diffcp (0.1.2), NeuroDataSets (0.3.1), socialmixr (0.7.0), varPro (3.2.0), ymd (0.1.7)
semPlot 1.2.0
• Support for psychonetrics lvm() and varcov() models
• Standardized psychonetrics parameters
• Support for PLS-SEM, lavaan.mi, piecewiseSEM, metaSEM, psych::fa(), psych::omega(), and blavaan
• New importer API
• Lighter dependencies
• Support for psychonetrics lvm() and varcov() models
• Standardized psychonetrics parameters
• Support for PLS-SEM, lavaan.mi, piecewiseSEM, metaSEM, psych::fa(), psych::omega(), and blavaan
• New importer API
• Lighter dependencies
July 18, 2026 at 3:57 AM
semPlot 1.2.0
• Support for psychonetrics lvm() and varcov() models
• Standardized psychonetrics parameters
• Support for PLS-SEM, lavaan.mi, piecewiseSEM, metaSEM, psych::fa(), psych::omega(), and blavaan
• New importer API
• Lighter dependencies
• Support for psychonetrics lvm() and varcov() models
• Standardized psychonetrics parameters
• Support for PLS-SEM, lavaan.mi, piecewiseSEM, metaSEM, psych::fa(), psych::omega(), and blavaan
• New importer API
• Lighter dependencies
New on CRAN: lvmPlot (0.1.0). View at https://CRAN.R-project.org/package=lvmPlot
lvmPlot: Publication-Quality Diagrams for Latent Variable Models
Converts output from latent variable model tools into publication-ready path diagrams and model schematics. 'lavaan' fit objects and parameter tables are supported as a primary workflow, with graph adapters for objects from 'blavaan', 'lavaan.mi', 'semPlot', 'mirt', 'eRm', 'OpenMx', 'psych', 'poLCA', 'mclust', 'flexmix', 'lcmm', 'tidyLPA', and 'MplusAutomation' workflows when those packages are available. Supports structural equation and confirmatory factor analysis diagrams, multilevel structural equation models, growth models, higher-order factor models, latent class and profile models, item response theory models, and common mixture outputs through a unified graph grammar with model-aware defaults, geometry diagnostics, layout quality scoring, automatic layout selection, customizable publication styles, 'RStudio' preview, SVG/PDF/PNG export, 'TikZ' output, and reproducible publication bundles.
CRAN.R-project.org
June 30, 2026 at 10:14 PM
New on CRAN: lvmPlot (0.1.0). View at https://CRAN.R-project.org/package=lvmPlot
New CRAN package lvmPlot with initial version 0.1.0
#rstats
https://cran.r-project.org/package=lvmPlot
#rstats
https://cran.r-project.org/package=lvmPlot
CRAN: Package lvmPlot
Converts output from latent variable model tools into publication-ready path diagrams and model schematics. 'lavaan' fit objects and parameter tables are supported as a primary workflow, with graph adapters for objects from 'blavaan', 'lavaan.mi', 'semPlot', 'mirt', 'eRm', 'OpenMx', 'psych', 'poLCA', 'mclust', 'flexmix', 'lcmm', 'tidyLPA', and 'MplusAutomation' workflows when those packages are available. Supports structural equation and confirmatory factor analysis diagrams, multilevel structural equation models, growth models, higher-order factor models, latent class and profile models, item response theory models, and common mixture outputs through a unified graph grammar with model-aware defaults, geometry diagnostics, layout quality scoring, automatic layout selection, customizable publication styles, 'RStudio' preview, SVG/PDF/PNG export, 'TikZ' output, and reproducible publication bundles.
cran.r-project.org
June 30, 2026 at 8:02 PM
New CRAN package lvmPlot with initial version 0.1.0
#rstats
https://cran.r-project.org/package=lvmPlot
#rstats
https://cran.r-project.org/package=lvmPlot
Motivation: #brms is popular but uses conditional likelihood; #blavaan can’t handle random slopes; which criteria to use given software constraints? Lowest value wins is best?
Repo: github.com/falkcarl/bML...
Has code with lmer-like syntax to estimate models with #stan, marginal WAIC and LOO-CV.
Repo: github.com/falkcarl/bML...
Has code with lmer-like syntax to estimate models with #stan, marginal WAIC and LOO-CV.
GitHub - falkcarl/bMLMFit: Data and code repository for Linear Multilevel Bayesian Regression Selection: Comparing Three Predictive Information Criteria
Data and code repository for Linear Multilevel Bayesian Regression Selection: Comparing Three Predictive Information Criteria - falkcarl/bMLMFit
github.com
May 14, 2026 at 1:04 PM
Motivation: #brms is popular but uses conditional likelihood; #blavaan can’t handle random slopes; which criteria to use given software constraints? Lowest value wins is best?
Repo: github.com/falkcarl/bML...
Has code with lmer-like syntax to estimate models with #stan, marginal WAIC and LOO-CV.
Repo: github.com/falkcarl/bML...
Has code with lmer-like syntax to estimate models with #stan, marginal WAIC and LOO-CV.
Here is a newly-accepted paper (at Methodology) discussing issues and unexpected behavior of WAIC and PSIS-LOO when applied to psychometric models. It is based on situations that I initially thought were bugs in blavaan, but they turned out not to be.
(download link is at the bottom of the page)
(download link is at the bottom of the page)
Nuances of information criteria for Bayesian psychometric models [Author Accepted Manuscript] | PsychArchives
PsychArchives is a disciplinary repository for psychological science and neighboring disciplines.
doi.org
April 29, 2026 at 4:40 PM
Here is a newly-accepted paper (at Methodology) discussing issues and unexpected behavior of WAIC and PSIS-LOO when applied to psychometric models. It is based on situations that I initially thought were bugs in blavaan, but they turned out not to be.
(download link is at the bottom of the page)
(download link is at the bottom of the page)
New CRAN package rmedsem with initial version 1.0.0
#rstats
https://cran.r-project.org/package=rmedsem
#rstats
https://cran.r-project.org/package=rmedsem
CRAN: Package rmedsem
Conducts mediation analysis for structural equation models (SEM) estimated with 'lavaan', 'blavaan', 'cSEM', or 'modsem'. Implements the Baron and Kenny (1986) <<a href="https://doi.org/10.1037%2F0022-3514.51.6.1173" target="_top">doi:10.1037/0022-3514.51.6.1173</a>> and Zhao, Lynch & Chen (2010) <<a href="https://doi.org/10.1086%2F651257" target="_top">doi:10.1086/651257</a>> approaches to determine the presence and type of mediation. Supports covariance-based SEM, partial least squares SEM, Bayesian SEM, and moderated mediation models. Reports indirect effects with standard errors from Sobel, Delta, Monte-Carlo, and bootstrap methods, along with effect size measures (RIT, RID).
cran.r-project.org
March 16, 2026 at 5:02 PM
New CRAN package rmedsem with initial version 1.0.0
#rstats
https://cran.r-project.org/package=rmedsem
#rstats
https://cran.r-project.org/package=rmedsem
Oh bla di
Oh blavaan
Life goes onnnnn, oh!
Oh blavaan
Life goes onnnnn, oh!
February 20, 2026 at 2:46 PM
Oh bla di
Oh blavaan
Life goes onnnnn, oh!
Oh blavaan
Life goes onnnnn, oh!
Updates on CRAN: BiostatsUHNplus (1.0.4), bittermelon (2.2.1), BiVariAn (1.0.3), blavaan (0.5-10), blogdown (1.23), bootStepAIC (1.4-0), BoutrosLab.plotting.general (7.1.5), bregr (1.4.0), broom (1.0.12), bruceR (2026.1), bslib (0.10.0), bspline (2.5.1), bspm (0.5.8), btb (0.2.2), btml (0.2.0)
February 3, 2026 at 3:36 AM
Updates on CRAN: BiostatsUHNplus (1.0.4), bittermelon (2.2.1), BiVariAn (1.0.3), blavaan (0.5-10), blogdown (1.23), bootStepAIC (1.4-0), BoutrosLab.plotting.general (7.1.5), bregr (1.4.0), broom (1.0.12), bruceR (2026.1), bslib (0.10.0), bspline (2.5.1), bspm (0.5.8), btb (0.2.2), btml (0.2.0)
Found a youtube post by Ed youtu.be/xJy5zIkzgvg
Bayesian Latent Variable Modeling in R with {blavaan}
YouTube video by UseR Oslo
youtu.be
October 19, 2025 at 3:21 PM
Found a youtube post by Ed youtu.be/xJy5zIkzgvg
My question. Is it possible to use #rstats #package #lavaan to asses measurement model #convergent and #discriminant #validity, then move on to #blavaan to finalize both #measurement and #structural models. I like that #blavaan has #prior() function. Need help. This is really new for me. Thanks.
October 19, 2025 at 10:44 AM
My question. Is it possible to use #rstats #package #lavaan to asses measurement model #convergent and #discriminant #validity, then move on to #blavaan to finalize both #measurement and #structural models. I like that #blavaan has #prior() function. Need help. This is really new for me. Thanks.
Learning #bayesian #SEM #rstats #package #blavaan then found this tutorial sites mc-stan.org/learn-stan/c... ecmerkle.github.io/blavaan/
Bayesian Structural Equation Modeling using blavaan
mc-stan.org
October 19, 2025 at 10:11 AM
Learning #bayesian #SEM #rstats #package #blavaan then found this tutorial sites mc-stan.org/learn-stan/c... ecmerkle.github.io/blavaan/
Updates on CRAN: blavaan (0.5-9), broman (0.90), datapack (1.4.2), ebnm (1.1-42), gpboost (1.6.3), GSE (4.2-3), gtExtras (0.6.1), harmony (1.2.4), mlr3mbo (0.3.3), randomForestSRC (3.4.3), textshaping (1.0.4)
October 10, 2025 at 9:24 AM
Updates on CRAN: blavaan (0.5-9), broman (0.90), datapack (1.4.2), ebnm (1.1-42), gpboost (1.6.3), GSE (4.2-3), gtExtras (0.6.1), harmony (1.2.4), mlr3mbo (0.3.3), randomForestSRC (3.4.3), textshaping (1.0.4)
Bayesian estimation sometimes makes distributional assumptions about the data that bootstrap does not. We put blavaan into this paper (on nonnormality) in part to illustrate that it is not inherently robust to distributional assumption violations: osf.io/preprints/ps...
OSF
osf.io
September 22, 2025 at 2:26 AM
Bayesian estimation sometimes makes distributional assumptions about the data that bootstrap does not. We put blavaan into this paper (on nonnormality) in part to illustrate that it is not inherently robust to distributional assumption violations: osf.io/preprints/ps...
IRTM trades off some generality in specification, as packages such as brms or blavaan can achieve, for substantially increased speed: it runs on data with 10k respondents and 200+ items with 4 latent dimensions in about 10 minutes, regardless of the complexity of the pre-specified connections. 3/7
May 22, 2025 at 2:46 PM
IRTM trades off some generality in specification, as packages such as brms or blavaan can achieve, for substantially increased speed: it runs on data with 10k respondents and 200+ items with 4 latent dimensions in about 10 minutes, regardless of the complexity of the pre-specified connections. 3/7
Ed Merkle will conduct a short course on Bayesian Psychometric Modeling and blavaan
www.psychometricsociety.org/post/bayesia...
www.psychometricsociety.org/post/bayesia...
Bayesian psychometric modeling and blavaan - Psychometric Society
Ed Merkle
www.psychometricsociety.org
May 14, 2025 at 3:01 PM
Ed Merkle will conduct a short course on Bayesian Psychometric Modeling and blavaan
www.psychometricsociety.org/post/bayesia...
www.psychometricsociety.org/post/bayesia...
Technical note: this was a nice dataset to use Bayesian SEM to test approximate invariance for our scales. Super useful for many groups and negligible differences. Alternatives like allignment method and frequentist app. invariance also promising!
BSEM in R: ecmerkle.github.io/blavaan/arti...
BSEM in R: ecmerkle.github.io/blavaan/arti...
Measurement Invariance
ecmerkle.github.io
May 3, 2025 at 4:05 PM
Technical note: this was a nice dataset to use Bayesian SEM to test approximate invariance for our scales. Super useful for many groups and negligible differences. Alternatives like allignment method and frequentist app. invariance also promising!
BSEM in R: ecmerkle.github.io/blavaan/arti...
BSEM in R: ecmerkle.github.io/blavaan/arti...
It does seem to implement models already available in blavaan (ecmerkle.github.io/blavaan/) and/or ctsem (github.com/cdriveraus/c...), but I didn't read that closely so not sure.
You prob know already there is a mplus2lavaan() function --- people tell me it works usually?
You prob know already there is a mplus2lavaan() function --- people tell me it works usually?
March 7, 2025 at 9:50 AM
It does seem to implement models already available in blavaan (ecmerkle.github.io/blavaan/) and/or ctsem (github.com/cdriveraus/c...), but I didn't read that closely so not sure.
You prob know already there is a mplus2lavaan() function --- people tell me it works usually?
You prob know already there is a mplus2lavaan() function --- people tell me it works usually?
Finally, IMPS 2025 will feature a number of preconference workshops. First, Ed Merkle will teach a workshop on Bayesian estimation of latent variable models using Blavaan. psychology.missouri.edu/people/merkle
Ed Merkle | Psychological Sciences - Psychological Sciences
Facebook accountTwitter account
psychology.missouri.edu
February 18, 2025 at 10:31 AM
Finally, IMPS 2025 will feature a number of preconference workshops. First, Ed Merkle will teach a workshop on Bayesian estimation of latent variable models using Blavaan. psychology.missouri.edu/people/merkle