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autoFRK

1.4.4Package record

Automatic Fixed Rank Kriging

0packages depend
6.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) doi:10.1080/00401706.2017.1345701. For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package.

Install

Health

CRAN checks
13OK
Slowest check: 6.3 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.4.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
39 (35 internal)
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
5%

Downloads

6.9K
CRAN downloads in the past year
Rank #5,258 · ~19/day · ~579/mo
Daily download trend is not available in this view yet.
58730 days
1.5K90 days
6.9K1 year
Compare downloads with other packages →
Also on424 r2u33 autocran84 c2d4u

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing autoFRK adds 33 packages (23 with compiled code, 25 MB of source tarballs). Heaviest: RSQLite 4.2 MB, fields 3.9 MB, spam 3.1 MB.

Depends (2)
R >= 3.5.0spam
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 1.0.0 (2018)
Contributor
Contributor
Listed in earlier versions (1)
no longer listed · 1.0.0 to 1.4.3
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2026-01-17
  • 1.4.4Latest
    record
    2026-01-17 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-12-25
    issues were not addressed in time
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.4.3
    record
    2021-03-12 · diff ↗
  • unarchivedReturned to CRAN
    2020-09-13
  • 1.3.3
    record
    2020-09-13 · diff ↗
  • archivedRemoved from CRAN
    2020-09-10
    check problems were not corrected in time, despite update
  • 1.3.2
    record
    2020-09-09 · diff ↗
  • 1.3.1
    record
    2020-08-27 · diff ↗
  • 1.3.0
    record
    2020-05-27 · diff ↗
Show 7 earlier eventsHide 7 earlier events
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2.0
    record
    2019-12-11 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.0
    record
    2019-03-29 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.0
    record
    2018-04-05
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-04-05
Total releases
9 / 8 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
26 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autoFRK")
Tzeng, S., Huang, H., Nychka, D., & Wang, W. (2026). autoFRK: Automatic Fixed Rank Kriging (Version 1.4.4) [Computer software]. https://doi.org/10.32614/CRAN.package.autoFRK

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 autoFRK version 1.4.4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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