Package: serrsBayes
Type: Package
Title: Bayesian Modelling of Raman Spectroscopy
Version: 0.5-0
Date: 2021-06-28
Authors@R: c(
    person("Matt", "Moores", role = c("aut", "cre"), email = "mmoores@gmail.com", comment = c(ORCID = "0000-0003-4531-3572")),
    person("Jake", "Carson", role="aut", email="Jake.Carson@warwick.ac.uk", comment = c(ORCID = "0000-0002-7896-0971")),
    person("Benjamin", "Moskowitz", role="ctb"),
    person("Kirsten", "Gracie", role="dtc"),
    person("Karen", "Faulds", role="dtc", comment = c(ORCID = "0000-0002-5567-7399")),
    person("Mark", "Girolami", role="aut"),
    person("Engineering and Physical Sciences Research Council", role="fnd", comment="EPSRC programme grant ref: EP/L014165/1"),
    person("University of Warwick", role="cph"))
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive
    mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS),
    using the method of Moores et al. (2016) <arXiv:1604.07299>. Multivariate
    observations of SERRS are highly collinear and lend themselves to a reduced-rank
    representation. The GAMM separates the SERRS signal into three components: a
    sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline;
    and additive white noise. The parameters of each component of the model are estimated
    iteratively using SMC. The posterior distributions of the parameters given the observed
    spectra are represented as a population of weighted particles.
License: GPL (>= 2) | file LICENSE
URL: https://github.com/mooresm/serrsBayes,
        https://mooresm.github.io/serrsBayes/
BugReports: https://github.com/mooresm/serrsBayes/issues
Depends: R (>= 3.5.0), Matrix, truncnorm, splines
Imports: Rcpp (>= 0.11.3), methods
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, knitr, rmarkdown, Hmisc
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-06-28 10:24:02 UTC; matt
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>),
  Jake Carson [aut] (<https://orcid.org/0000-0002-7896-0971>),
  Benjamin Moskowitz [ctb],
  Kirsten Gracie [dtc],
  Karen Faulds [dtc] (<https://orcid.org/0000-0002-5567-7399>),
  Mark Girolami [aut],
  Engineering and Physical Sciences Research Council [fnd] (EPSRC
    programme grant ref: EP/L014165/1),
  University of Warwick [cph]
Maintainer: Matt Moores <mmoores@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-28 12:20:02 UTC
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