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spNNGP

1.0.2Package record

Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

1packages depend
6.8Kdownloads / year
26.4%test coverage
13/13flavors OK

Overview

About

Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) doi:10.18637/jss.v103.i05, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) doi:10.1080/10618600.2018.1537924, and Datta, Banerjee, Finley, and Gelfand (2016) doi:10.1080/01621459.2015.1044091.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 144 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JSS article
Help pages
10
Examples that run
100%4 run in a plain check
Exported functions with examples
75%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
70%

Downloads

6.8K
CRAN downloads in the past year
Rank #6,314 · ~19/day · ~567/mo
Daily download trend is not available in this view yet.
45430 days
1.3K90 days
6.8K1 year
Compare downloads with other packages →
Also on555 r2u4 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-05-31
Responsiveness
not measured
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/finleya/spnngp on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-05-31 · The repository has a site deploy workflow

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing spNNGP adds 3 packages (1 with compiled code, 178 KB of source tarballs). Heaviest: coda 73 KB, RANN 59 KB, Formula 46 KB.

Depends (4)
R >= 3.5.0codaFormulaRANN
Imports (1)
methods
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2017)
Listed in earlier versions (1)
no longer listed · 0.1.0 to 0.1.1
Releases (12)

Pick two releases to compare their code metrics.

  • 1.0.2Latest
    record
    2026-05-28 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.1
    record
    2024-09-23 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    record
    2022-06-27 · diff ↗
  • unarchivedReturned to CRAN
    2022-05-24
  • 0.1.8
    record
    2022-05-24 · diff ↗
  • archivedRemoved from CRAN
    2022-05-07
    installation issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.7
    record
    2022-03-17 · diff ↗
  • 0.1.6
    record
    2021-09-20 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.5
    record
    2021-02-17 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
Show 8 earlier eventsHide 8 earlier events
  • 0.1.4
    record
    2020-03-30 · diff ↗ ·
    removed 1 export
    spPredict
  • 0.1.3
    record
    2020-01-30 · diff ↗
  • 0.1.2
    record
    2019-09-03 · diff ↗ ·
    added 2 exports
    PGLogit, spDiag
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.1
    record
    2017-07-22 · diff ↗
  • 0.1.0
    record
    2017-07-16
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-16
Total releases
12 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
3.0 MB / 3 files
Download size
3.1 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("spNNGP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v103.i05.

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 spNNGP version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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