Package: DSSP 0.1.1

Gentry White

DSSP: Implementation of the Direct Sampling Spatial Prior

Draw samples from the direct sampling spatial prior model as described in G. White, D. Sun, P. Speckman (2019) <arxiv:1906.05575>. The basic model assumes a Gaussian likelihood and derives a spatial prior based on thin-plate splines.

Authors:Gentry White [aut, cre], Rex Parsons [aut]

DSSP_0.1.1.tar.gz
DSSP_0.1.1.tar.gz(r-4.5-noble)DSSP_0.1.1.tar.gz(r-4.4-noble)
DSSP_0.1.1.tgz(r-4.4-emscripten)DSSP_0.1.1.tgz(r-4.3-emscripten)
DSSP.pdf |DSSP.html✨
DSSP/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/gentrywhite/dssp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

openblascppopenmp

2.70 score 6 scripts 129 downloads 6 exports 47 dependencies

Last updated 2 years agofrom:dde20f00e5. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linux-x86_64NOTEDec 13 2024

Exports:DSSPmake.Msample.deltasample.etasample.nutps.rbf

Dependencies:abindbackportsbriocallrcheckmateclicrayondescdiffobjdigestdistributionalellipseevaluatefansifftwtoolsfsgenericsgluejsonlitelatticelifecyclemagrittrmatrixStatsmcmcsenumDerivpillarpkgbuildpkgconfigpkgloadposteriorpraiseprocessxpsR6RcppRcppArmadillorlangrprojrootrustsptensorAtestthattibbleutf8vctrswaldowithr

DSSP: Direct Sampling Spatial Prior

Rendered fromdssp.Rmdusingknitr::rmarkdownon Dec 13 2024.

Last update: 2022-07-12
Started: 2022-06-02