Generalized additive mixed model analysis via slice sampling
Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
mixed models (GAMM).  Generalized linear mixed models and
generalized additive models are also handled as special cases
of GAMM.

Generalized Additive Mixed Model Analysis via Slice Sampling
c(person("Tung H.", "Pham", role = c("aut"),
email = "tungstats@gmail.com"),
person("Matt P.", "Wand", role = c("aut", "cre"),,
email = "matt.wand@uts.edu.au"))
Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
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
Journal of Statistics (in press).
Tung H. Pham [aut],
Matt P. Wand [aut, cre]

c(person("Tung H.", "Pham", role = c("aut"),
email = "tungstats@gmail.com"),
person("Matt P.", "Wand", role = c("aut", "cre"),
email = "matt.wand@uts.edu.au"))
Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
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
Journal of Statistics, 60, 279-330 <DOI:10.1111/ANZS.12241>.

Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry
Measurements
c(person(given = "Nicolas",
family = "Frerebeau",
role = c("aut"),
email = "nicolas.frerebeau@u-bordeaux-montaigne.fr",
comment = c(ORCID = "0000-0001-5759-4944")),
person(given = "Brice",
family = "Lebrun",
role = c("aut", "cre"),
email = "brice.lebrun@u-bordeaux-montaigne.fr",
comment = c(ORCID = "0000-0001-7503-8685")),
person(given = "Guilhem",
family = "Paradol",
role = "aut",
email = "guilhem.paradol@phelma.grenoble-inp.fr"),
person(given = "Magali",
family = "Rizza",
role = "ctb",
email = "rizza@cerege.fr",
comment = c(ORCID = "0000-0003-2364-5621")),
person(given = "Christelle",
family = "Lahaye",
role = "ctb",
email = "christelle.lahaye@u-bordeaux-montaigne.fr",
comment = c(ORCID = "0000-0003-2215-9015")),
person(given = "Université Bordeaux Montaigne",
role = c("cph", "fnd")),
person(given = "CNRS",
role = "fnd"),
person(given = "LabEx Sciences archéologiques de Bordeaux",
role = "fnd"),
person(given = "Idex Aix-Marseille",
role = "fnd"))
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.
ggplot2, graphics, IsoplotR, methods, rlang, rxylib, stats,
tools, utils
covr, knitr, magrittr, rmarkdown, testthat, vdiffr
'AllClasses.R' 'AllGenerics.R' 'baseline.R'
'baseline_rubberband.R' 'baseline_snip.R' 'coerce.R' 'data.R'
'dose_fit.R' 'dose_predict.R' 'energy_calibrate.R'
'gamma-package.R' 'initialize.R' 'mutators.R' 'operators.R'
'peaks_find.R' 'plot.R' 'read.R' 'show.R' 'signal_integrate.R'
'signal_slice.R' 'signal_stabilize.R' 'smooth.R'
'smooth_rectangular.R' 'smooth_savitzky.R'
'smooth_triangular.R' 'subset.R' 'summarize.R' 'utilities.R'
'validate.R'
Nicolas Frerebeau [aut] (<https://orcid.org/0000-0001-5759-4944>),
Brice Lebrun [aut, cre] (<https://orcid.org/0000-0001-7503-8685>),
Guilhem Paradol [aut],
Magali Rizza [ctb] (<https://orcid.org/0000-0003-2364-5621>),
Christelle Lahaye [ctb] (<https://orcid.org/0000-0003-2215-9015>),
Université Bordeaux Montaigne [cph, fnd],
CNRS [fnd],
LabEx Sciences archéologiques de Bordeaux [fnd],
Idex Aix-Marseille [fnd]