Package: blapsr
Type: Package
Title: Bayesian Inference with Laplace Approximations and P-Splines
Version: 0.7.0
Depends: R (>= 3.6.0), survival (>= 2.44.1)
Authors@R: c(person("Oswaldo","Gressani", email="oswaldo_gressani@hotmail.fr",
                  role=c("aut","cre"), comment = "Author"),
             person("Philippe", "Lambert", email="p.lambert@uliege.be",
             role=c("aut", "ths"), comment = "Co-author and thesis advisor"))
Maintainer: Oswaldo Gressani <oswaldo_gressani@hotmail.fr>
Description: Laplace approximations and penalized B-splines are combined
    for fast Bayesian inference in latent Gaussian models. The routines can be
    used to fit survival models, especially proportional hazards and promotion 
    time cure models (Gressani, O. and Lambert, P. (2018) 
    <doi:10.1016/j.csda.2018.02.007>). The Laplace-P-spline methodology can also
    be implemented for inference in (generalized) additive models
    (Gressani, O. and Lambert, P. (2021) <doi:10.1016/j.csda.2020.107088>).
    See the associated website for more information and examples.
URL: <https://github.com/oswaldogressani/blapsr>
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Imports: coda (>= 0.19.3), graphics(>= 3.6.0), MASS (>= 7.3.51), Matrix
        (>= 1.2.17), RSpectra (>= 0.16.0), sn (>= 1.5.4), stats, utils
        (>= 3.6.0)
Suggests: knitr (>= 1.26), rmarkdown (>= 1.14), testthat (>= 2.3.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-01 08:46:30 UTC; OswaldoTower89
Author: Oswaldo Gressani [aut, cre] (Author),
  Philippe Lambert [aut, ths] (Co-author and thesis advisor)
Repository: CRAN
Date/Publication: 2025-09-01 09:10:12 UTC
Built: R 4.6.0; ; 2026-04-26 06:09:13 UTC; unix
