Title: Generalized Additive Mixed Model Analysis via Slice Sampling
Authors@R: c(person("Tung H.", "Pham", role = c("aut"),
person("Matt P.", "Wand", role = c("aut", "cre"),,
mixed models.  Generalized linear mixed models and generalized
additive models are also handled as special cases of generalized
additive mixed models. The methodology and software is described
in Pham, T.H. and Wand, M.P. (2018). Australian and New Zealand

person("Matt P.", "Wand", role = c("aut", "cre"),

Title: Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry
person(given = "Université Bordeaux Montaigne",
person(given = "LabEx Sciences archéologiques de Bordeaux",
Description: Process in-situ Gamma-Ray Spectrometry for
Luminescence Dating. This package allows to import, inspect and
correct the energy shifts of Gamma-ray spectra. It provides methods
for estimating the gamma dose rate by the use of a calibration curve.
The package only supports Canberra CNF and TKA files.
Imports: ggplot2, graphics, IsoplotR, methods, rlang, rxylib, stats,
Suggests: covr, knitr, magrittr, rmarkdown, testthat, vdiffr
'peaks_find.R' 'plot.R' 'read.R' 'show.R' 'signal_integrate.R'
Author: Nicolas Frerebeau [aut] (<https://orcid.org/0000-0001-5759-4944>),
Université Bordeaux Montaigne [cph, fnd],
LabEx Sciences archéologiques de Bordeaux [fnd],

Suggests: covr, knitr, magrittr, rmarkdown, testthat (>= 3.0.0), vdiffr

for estimating the gamma dose rate by the use of a calibration curve
as described in Mercier and Falguères (2007).

Title: Robust and Sparse Regression via Gamma-Divergence
Description: Robust regression via gamma-divergence with L1, elastic net and ridge.

Title: Fit Regularization Path for Generalized Additive Models
Author: Alexandra Chouldechova and Trevor Hastie
Description: Using overlap grouped lasso penalties, gamsel selects whether a term in a gam is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families.