Package: spTimer
Type: Package
Title: Spatio-Temporal Bayesian Modelling
Version: 3.3.4
Date: 2026-03-27
Authors@R: 
    c(person(given = "K. Shuvo",
             family = "Bakar",
             role = c("aut", "cre"),
             email = "shuvo.bakar@gmail.com",
             comment = c(ORCID = "0000-0003-3215-4496")),
      person(given = "Sujit K.",
             family = "Sahu",
             role = "ctb",
             comment = c(ORCID = "0000-0003-2315-3598"))
			 )
Depends: R (>= 4.5)
Description: Fits, spatially predicts and temporally forecasts large amounts of space-time data using  [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.
License: GPL (>= 2)
Imports: coda, sp, spacetime, extraDistr, grDevices, graphics, stats,
        utils
LazyData: yes
NeedsCompilation: yes
Author: K. Shuvo Bakar [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3215-4496>),
  Sujit K. Sahu [ctb] (ORCID: <https://orcid.org/0000-0003-2315-3598>)
Maintainer: K. Shuvo Bakar <shuvo.bakar@gmail.com>
Repository: CRAN
Packaged: 2026-03-27 10:30:18 UTC; kbak4671
Date/Publication: 2026-03-28 06:10:29 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 07:36:11 UTC; unix
Archs: spTimer.so.dSYM
