Package: lavacreg 0.2-2

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:Christoph Kiefer [cre, aut]

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Bug tracker:https://github.com/chkiefer/lavacreg/issues

On CRAN:

count-regressionlatent-covariatesstructural-equation-modeling

3 exports 3 stars 1.45 score 5 dependencies 5 scripts 954 downloads

Last updated 3 months agofrom:456cec6d59. Checks:OK: 9. Indexed: yes.

Exports:countregis_countsummary

Dependencies:fastGHQuadpracmaRcppRcppArmadilloSparseGrid