Package: lava Type: Package Title: Latent Variable Models Version: 1.9.2 Authors@R: c(person("Klaus K.", "Holst", email="klaus@holst.it", role=c("aut", "cre")), person("Benedikt", "Sommer", role = "ctb"), person("Brice", "Ozenne", role = "ctb"), person("Thomas", "Gerds", role = "ctb")) Author: Klaus K. Holst [aut, cre], Benedikt Sommer [ctb], Brice Ozenne [ctb], Thomas Gerds [ctb] Maintainer: Klaus K. Holst Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) ). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) ). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models. URL: https://kkholst.github.io/lava/, https://github.com/kkholst/lava BugReports: https://github.com/kkholst/lava/issues License: Apache License (== 2.0) LazyLoad: yes Depends: R (>= 3.5.0) Imports: cli, future.apply, graphics, grDevices, methods, numDeriv, progressr, stats, survival, SQUAREM, utils Suggests: KernSmooth, Rgraphviz, data.table, ellipse, fields, future, geepack, graph, knitr, rmarkdown, igraph (>= 0.6), lavaSearch2, lme4 (>= 1.1.35.1), MASS, Matrix (>= 1.6.3), mets (>= 1.1), nlme, optimx, polycor, quantreg, rgl, svglite, targeted (>= 0.4), testthat (>= 0.11), vdiffr, visNetwork VignetteBuilder: knitr,rmarkdown ByteCompile: yes Encoding: UTF-8 Config/roxygen2/version: 8.0.0 NeedsCompilation: no Packaged: 2026-06-30 19:30:26 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-06-30 18:20:06 UTC RemoteUrl: https://github.com/cran/lava RemoteRef: HEAD RemoteSha: fc2d0ad67c2f40a861ef9c531d53dfd77235a4a2