Package: stcos 0.3.1

Andrew M. Raim

stcos: Space-Time Change of Support

Spatio-temporal change of support (STCOS) methods are designed for statistical inference on geographic and time domains which differ from those on which the data were observed. In particular, a parsimonious class of STCOS models supporting Gaussian outcomes was introduced by Bradley, Wikle, and Holan <doi:10.1002/sta4.94>. The 'stcos' package contains tools which facilitate use of STCOS models.

Authors:Andrew M. Raim [aut, cre], Scott H. Holan [aut, res], Jonathan R. Bradley [aut, res], Christopher K. Wikle [aut, res]

stcos_0.3.1.tar.gz
stcos_0.3.1.zip(r-4.5)stcos_0.3.1.zip(r-4.4)stcos_0.3.1.zip(r-4.3)
stcos_0.3.1.tgz(r-4.4-x86_64)stcos_0.3.1.tgz(r-4.4-arm64)stcos_0.3.1.tgz(r-4.3-x86_64)stcos_0.3.1.tgz(r-4.3-arm64)
stcos_0.3.1.tar.gz(r-4.5-noble)stcos_0.3.1.tar.gz(r-4.4-noble)
stcos_0.3.1.tgz(r-4.4-emscripten)stcos_0.3.1.tgz(r-4.3-emscripten)
stcos.pdf |stcos.html
stcos/json (API)

# Install 'stcos' in R:
install.packages('stcos', repos = c('https://holans.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/holans/st-cos/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • acs5_2013 - Shapes and ACS estimates for Boone County, MO.
  • acs5_2014 - Shapes and ACS estimates for Boone County, MO.
  • acs5_2015 - Shapes and ACS estimates for Boone County, MO.
  • acs5_2016 - Shapes and ACS estimates for Boone County, MO.
  • acs5_2017 - Shapes and ACS estimates for Boone County, MO.
  • columbia_neighbs - City of Columbia neighborhoods.

On CRAN:

16 exports 3 stars 1.08 score 31 dependencies 4 scripts 907 downloads

Last updated 1 years agofrom:71be69d364. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64OKSep 12 2024
R-4.5-linux-x86_64OKSep 12 2024
R-4.4-win-x86_64OKSep 12 2024
R-4.4-mac-x86_64OKSep 12 2024
R-4.4-mac-aarch64OKSep 12 2024
R-4.3-win-x86_64OKSep 12 2024
R-4.3-mac-x86_64OKSep 12 2024
R-4.3-mac-aarch64OKSep 12 2024

Exports:adjacency_matrixareal_spacetime_bisquareareal_spatial_bisquareautocov_VAR1car_precisioncov_approx_blockdiagcov_approx_randwalkDICgibbs_stcoslicolsmle_stcosoverlap_matrixprepare_stcos_demordomainspacetime_bisquarespatial_bisquare

Dependencies:classclassIntcliDBIdplyre1071fansigenericsglueKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6RcppRcppArmadillorlangs2sftibbletidyselectunitsutf8vctrswithrwk

Readme and manuals

Help Manual

Help pageTopics
Shapes and ACS estimates for Boone County, MO.acs5_2013 acs5_2014 acs5_2015 acs5_2016 acs5_2017 acs_sf
Sparse adjacency matrix between two sets of areas.adjacency_matrix
Areal Space-Time Bisquare Basisareal_spacetime_bisquare
Areal Spatial Bisquare Basisareal_spatial_bisquare
Compute the autocovariance matrix for a VAR(1) process.autocov_VAR1
CAR Precision Matrixcar_precision
City of Columbia neighborhoods.columbia_neighbs
Best Approximation to Covariance StructureCovariance Approximation cov_approx_blockdiag cov_approx_randwalk
Deviance Information CriterionDIC
Gibbs Sampler for STCOS ModelDIC.stcos_gibbs fitted.stcos_gibbs gibbs_stcos logLik.stcos_gibbs predict.stcos_gibbs print.stcos_gibbs
licolslicols
MLE for STCOS Modelmle_stcos
Matrix of overlaps between two sets of areas.overlap_matrix
Prepare Demo Data for STCOS Modelprepare_stcos_demo
Draw uniformly distributed points from a set of areasrdomain
Space-Time Bisquare Basisspacetime_bisquare
Spatial Bisquare Basisspatial_bisquare
stcos: Space-Time Change of Supportstcos-package stcos