Package: vagam
Type: Package
Title: Variational Approximations for Generalized Additive Models
Version: 1.1
Date: 2019-12-07
Depends: R (>= 3.4.0), mgcv, gamm4, Matrix, mvtnorm, truncnorm
LazyLoad: yes
LazyData: yes
Authors@R: c(
	person("Han Lin", "Shang", email="hanlin.shang@anu.edu.au", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1769-6430")),
	person("Francis K.C.", "Hui", role="aut", comment = c(ORCID = "0000-0003-0765-3533"))
	)    
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>
Description: Fits generalized additive models (GAMs) using a variational approximations (VA) framework. In brief, the VA framework provides a fully or at least closed to fully tractable lower bound approximation to the marginal likelihood of a GAM when it is parameterized as a mixed model (using penalized splines, say). In doing so, the VA framework aims offers both the stability and natural inference tools available in the mixed model approach to GAMs, while achieving computation times comparable to that of using the penalized likelihood approach to GAMs. See Hui et al. (2018) <doi:10.1080/01621459.2018.1518235>.
License: GPL-3
NeedsCompilation: no
Packaged: 2019-12-06 19:38:31 UTC; hanlinshang
Author: Han Lin Shang [aut, cre, cph] (<https://orcid.org/0000-0003-1769-6430>),
  Francis K.C. Hui [aut] (<https://orcid.org/0000-0003-0765-3533>)
Repository: CRAN
Date/Publication: 2019-12-06 20:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 11:00:06 UTC; unix
