Package: lavacreg
Type: Package
Title: Latent Variable Count Regression Models
Version: 0.2-2
Date: 2024-06-13
Authors@R: c(person("Christoph", "Kiefer", 
                    email = "christoph.kiefer@uni-bielefeld.de", 
                    role = c("cre", "aut"), 
                    comment = c(ORCID = "0000-0002-9166-400X"))) 
Description: 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>.
License: GPL (>= 2)
URL: https://github.com/chkiefer/lavacreg
BugReports: https://github.com/chkiefer/lavacreg/issues
LazyData: true
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.5), fastGHQuad, pracma, methods, stats,
        SparseGrid
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.1
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-25 10:05:11 UTC; root
Author: Christoph Kiefer [cre, aut]
        (<https://orcid.org/0000-0002-9166-400X>)
Maintainer: Christoph Kiefer <christoph.kiefer@uni-bielefeld.de>
Repository: https://cran.r-universe.dev
Date/Publication: 2024-06-14 02:43:42 UTC
RemoteUrl: https://github.com/cran/lavacreg
RemoteRef: HEAD
RemoteSha: 5f816fe39e09bfb541dcf16c8019515033c437a9