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) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2019) <doi:10.1093/biostatistics/kxy082>). 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.
| Version: | 1.6.8 |
| Depends: | R (≥ 3.5) |
| Imports: | grDevices, graphics, methods, numDeriv, stats, survival, SQUAREM, utils |
| Suggests: | KernSmooth, Matrix, Rgraphviz, data.table, ellipse, fields, foreach, geepack, gof (≥ 0.9), graph, knitr, bookdown, rmarkdown, igraph (≥ 0.6), lava.tobit (≥ 0.4.7), lavaSearch2, lme4, magrittr, mets (≥ 1.1), nlme, optimx, polycor, quantreg, rgl, R.rsp (≥ 0.40), testthat (≥ 0.11), visNetwork, zoo |
| Published: | 2020-09-26 |
| Author: | Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb] |
| Maintainer: | Klaus K. Holst <klaus at holst.it> |
| BugReports: | https://github.com/kkholst/lava/issues |
| License: | GPL-3 |
| URL: | https://kkholst.github.io/lava/ |
| NeedsCompilation: | no |
| Citation: | lava citation info |
| Materials: | README NEWS |
| In views: | Psychometrics |
| CRAN checks: | lava results |
| Reference manual: | lava.pdf |
| Vignettes: |
Estimating partial correlations with lava XXX Non-linear latent variable models and error-in-variable models |
| Package source: | lava_1.6.8.tar.gz |
| Windows binaries: | r-devel: lava_1.6.8.zip, r-release: lava_1.6.8.zip, r-oldrel: lava_1.6.8.zip |
| macOS binaries: | r-release: lava_1.6.8.tgz, r-oldrel: lava_1.6.8.tgz |
| Old sources: | lava archive |
| Reverse depends: | lavaSearch2, mets, targeted |
| Reverse imports: | BuyseTest, prodlim, Publish, riskRegression, SmoothHazard, timereg |
| Reverse suggests: | pec |
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