lava
Latent Variable Models
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 (2020) <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.
- Version1.8.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- lava citation info
- Last release03/05/2024
Documentation
Team
Klaus K. Holst
Brice Ozenne
Thomas Gerds
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Insights
Last 30 days
This package has been downloaded 159,891 times in the last 30 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3,173 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,578,217 times in the last 365 days. Perhaps it's time to consider hiring a personal assistant to manage the newfound fame. That's an absurd number of downloads. The day with the most downloads was Jan 13, 2025 with 7,760 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports6 packages
- Suggests21 packages
- Reverse Depends3 packages
- Reverse Imports11 packages