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BRISC

1.0.6Package record

Fast Inference for Large Spatial Datasets using BRISC

1packages dependsuggested by 1
7.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-08
  • ERROR13 OK, 1 ERROR2026-04-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
78%

Downloads

7.1K
CRAN downloads in the past year
Rank #4,297 · ~19/day · ~592/mo
Daily download trend is not available in this view yet.
73030 days
2K90 days
7.1K1 year
Compare downloads with other packages →
Also on475 r2u32 autocran2.1K conda_forge

Repository

8Stars
3Forks
1Open issues
0Open PRs
0Releases
135Commits
2Commit identities
135 commits · Last activity 2021-03-09 · 0% stars, 30d · The default branch showed an older version (1.0.1) than CRAN on 2026-10-21
Responsiveness
not measured

Stars over time

2025-05-04 · 82026-07-07 · 8
PracticesBeta

Checks run against github.com/arkajyotisaha/brisc on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing BRISC adds 6 packages (5 with compiled code, 3.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, matrixStats 207 KB.

Depends (8)
R >= 3.3.0RANNparallelstatsrdistmatrixStatspbapplygraphics
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (5)
Author, Maintainer since 0.1.0 (2018)
Contributor
Contributor
Contributor · added in 1.0.3
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.6Latest
    record
    2024-10-02 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.5
    record
    2022-04-30 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.4
    record
    2022-03-03 · diff ↗
  • 1.0.3
    record
    2022-03-03 · diff ↗ ·
    added 2 exports
    BRISC_order, BRISC_neighbor
  • 1.0.2
    record
    2021-09-20 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    record
    2021-03-09 · diff ↗
  • 1.0.0
    record
    2021-01-07 · diff ↗ ·
    added 3 exports
    BRISC_correlation, BRISC_simulation, BRISC_decorrelation
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.0
    record
    2019-08-19 · diff ↗ ·
    added 1 export
    BRISC_variogram.ci
  • R
    R 3.6.0 released · 2019-04-26
Show 2 earlier eventsHide 2 earlier events
  • 0.1.0
    record
    2018-07-22
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-07-22
Total releases
9 / 8 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.3.0
Download size
77 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BRISC")
Saha, A., Datta, A., Nocedal, J., Okazaki, N., & Weber, L. M. (2024). BRISC: Fast Inference for Large Spatial Datasets using BRISC (Version 1.0.6) [Computer software]. https://doi.org/10.32614/CRAN.package.BRISC

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BRISC version 1.0.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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