Package: lavacreg 0.2-2
Christoph Kiefer
lavacreg: Latent Variable Count Regression Models
Estimation of a multi-group count regression models (i.e., Poisson, negative binomial) with latent covariates. This packages provides two extensions compared to ordinary count regression models based on a generalized linear model: First, measurement models for the predictors can be specified allowing to account for measurement error. Second, the count regression can be simultaneously estimated in multiple groups with stochastic group weights. The marginal maximum likelihood estimation is described in Kiefer & Mayer (2020) <doi:10.1080/00273171.2020.1751027>.
Authors:
lavacreg_0.2-2.tar.gz
lavacreg_0.2-2.tar.gz(r-4.5-noble)lavacreg_0.2-2.tar.gz(r-4.4-noble)
lavacreg_0.2-2.tgz(r-4.4-emscripten)lavacreg_0.2-2.tgz(r-4.3-emscripten)
lavacreg.pdf |lavacreg.html✨
lavacreg/json (API)
NEWS
| # Install 'lavacreg' in R: |
| install.packages('lavacreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chkiefer/lavacreg/issues
- example01 - A first example dataset to illustrate the use of lavacreg
Last updated 8 months agofrom:5f816fe39e. Checks:1 OK, 1 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 01 2025 |
| R-4.5-linux-x86_64 | NOTE | Feb 01 2025 |
Exports:countregis_countsummary
Dependencies:fastGHQuadpracmaRcppRcppArmadilloSparseGrid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fitting Count Regression Models with Latent Covariates | countreg |
| A first example dataset to illustrate the use of lavacreg | example01 |
| Check for count variable | is_count |
| Summary of a lavacreg object | summary,lavacreg-method |
