cran. See also theR-universe documentation.Package: BRISC 1.0.6
Arkajyoti Saha
BRISC: Fast Inference for Large Spatial Datasets using BRISC
Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.
Authors:
BRISC_1.0.6.tar.gz
BRISC_1.0.6.tar.gz(r-4.5-noble)BRISC_1.0.6.tar.gz(r-4.4-noble)
BRISC_1.0.6.tgz(r-4.4-emscripten)BRISC_1.0.6.tgz(r-4.3-emscripten)
BRISC.pdf |BRISC.html✨
BRISC/json (API)
| # Install 'BRISC' in R: |
| install.packages('BRISC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/arkajyotisaha/brisc/issues
Last updated 5 months agofrom:f9734a6cbd. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 02 2025 |
| R-4.5-linux-x86_64 | OK | Mar 02 2025 |
Exports:BRISC_bootstrapBRISC_correlationBRISC_decorrelationBRISC_estimationBRISC_neighborBRISC_orderBRISC_predictionBRISC_simulationBRISC_variogram.ci
Dependencies:matrixStatspbapplyRANNRcppRcppArmadillordist
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Function for performing bootstrap with BRISC | BRISC_bootstrap |
| Function for simulating correlated data with BRISC | BRISC_correlation |
| Function for decorrelating data with BRISC | BRISC_decorrelation |
| Function for estimation with BRISC | BRISC_estimation |
| Function for finding set of nearest neighbors for BRISC | BRISC_neighbor |
| Function for ordering coordinates with BRISC | BRISC_order |
| Function for performing prediction with BRISC | BRISC_prediction |
| Function to simulate data with BRISC | BRISC_simulation |
| Function for plotting estimated Variogram and confidence region | BRISC_variogram.ci |
