lava

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.

Last 30 days

This package has been downloaded 163,487 times in the last 30 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6,909 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 1,575,647 times in the last 365 days. This is the academic equivalent of going platinum. Except, you know, with more charts and fewer screaming fans. Congratulations! 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.