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
Repository: https://oswaldogressani.r-universe.dev
Date/Publication: 2025-09-01 14:09:15 UTC
RemoteUrl: https://github.com/oswaldogressani/blapsr
RemoteRef: HEAD
RemoteSha: e7cc83f7e41740f74722dd66d8b2639e21342439
NeedsCompilation: no
Packaged: 2026-07-03 18:26:09 UTC; root
Author: Oswaldo Gressani [aut, cre] (Author),
  Philippe Lambert [aut, ths] (Co-author and thesis advisor)