Type: Package
Package: varycoef
Title: Modeling Spatially Varying Coefficients
Version: 0.3.1
Authors@R: 
    c(person(given = "Jakob A.",
             family = "Dambon",
             role = c("aut", "cre"),
             email = "jakob.dambon@math.uzh.ch",
             comment = c(ORCID = "0000-0001-5855-2017")),
      person(given = "Fabio",
             family = "Sigrist",
             role = "ctb",
             comment = c(ORCID = "0000-0002-3994-2244")),
      person(given = "Reinhard",
             family = "Furrer",
             role = "ctb",
             comment = c(ORCID = "0000-0002-6319-2332")))
Description: Implements a maximum likelihood estimation (MLE)
    method for estimation and prediction of Gaussian process-based
    spatially varying coefficient (SVC) models 
    (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). 
    Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can 
    be applied such that the method scales to large data. Further, it implements
    a joint variable selection of the fixed and random effects (Dambon et al. 
    (2021b) <arXiv:2101.01932>).
License: GPL-2
URL: https://github.com/jakobdambon/varycoef
BugReports: https://github.com/jakobdambon/varycoef/issues
Depends: R (>= 3.5.0), spam
Imports: glmnet, lhs, mlr, mlrMBO, RandomFields, optimParallel (>=
        0.8-1), ParamHelpers, pbapply, smoof, sp
Suggests: DiceKriging, gstat, knitr, microbenchmark, parallel,
        rmarkdown, R.rsp, spData
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-06-03 12:14:37 UTC; jakob
Author: Jakob A. Dambon [aut, cre] (<https://orcid.org/0000-0001-5855-2017>),
  Fabio Sigrist [ctb] (<https://orcid.org/0000-0002-3994-2244>),
  Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Jakob A. Dambon <jakob.dambon@math.uzh.ch>
Repository: CRAN
Date/Publication: 2021-06-03 13:00:02 UTC
Built: R 4.0.2; ; 2021-06-04 11:23:57 UTC; unix
