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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "spate" in publications use:'
type: software
license: GPL-2.0-only
title: 'spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach'
version: 1.7.5
doi: 10.1111/rssb.12061
identifiers:
- type: doi
  value: 10.32614/CRAN.package.spate
abstract: Functionality for spatio-temporal modeling of large data sets is provided.
  A Gaussian process in space and time is defined through a stochastic partial differential
  equation (SPDE). The SPDE is solved in the spectral space, and after discretizing
  in time and space, a linear Gaussian state space model is obtained. When doing inference,
  the main computational difficulty consists in evaluating the likelihood and in sampling
  from the full conditional of the spectral coefficients, or equivalently, the latent
  space-time process. In comparison to the traditional approach of using a spatio-temporal
  covariance function, the spectral SPDE approach is computationally advantageous.
  See Sigrist, Kuensch, and Stahel (2015) <https://doi.org/10.1111/rssb.12061> for
  more information on the methodology. This package aims at providing tools for two
  different modeling approaches. First, the SPDE based spatio-temporal model can be
  used as a component in a customized hierarchical Bayesian model (HBM). The functions
  of the package then provide parameterizations of the process part of the model as
  well as computationally efficient algorithms needed for doing inference with the
  HBM. Alternatively, the adaptive MCMC algorithm implemented in the package can be
  used as an algorithm for doing inference without any additional modeling. The MCMC
  algorithm supports data that follow a Gaussian or a censored distribution with point
  mass at zero. Covariates can be included in the model through a regression term.
authors:
- family-names: Sigrist
  given-names: Fabio
  email: fabiosigrist@gmail.com
- family-names: Kuensch
  given-names: Hans R.
- family-names: Stahel
  given-names: Werner A.
preferred-citation:
  type: article
  title: 'spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion
    Process'
  authors:
  - family-names: Sigrist
    given-names: Fabio
    email: fabiosigrist@gmail.com
  - family-names: K\"unsch
    given-names: Hans R.
  - family-names: Stahel
    given-names: Werner A.
  journal: Journal of Statistical Software
  year: '2015'
  volume: '63'
  issue: '14'
  doi: 10.1111/rssb.12061
  start: '1'
  end: '23'
repository: https://CRAN.R-project.org/package=spate
date-released: '2023-10-03'
contact:
- family-names: Sigrist
  given-names: Fabio
  email: fabiosigrist@gmail.com