Skip to content

adaptsmoFMRI

1.2Package record

Adaptive Smoothing of FMRI Data

0packages depend
3.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Adaptive smoothing functions for estimating the blood oxygenation level dependent (BOLD) effect by using functional Magnetic Resonance Imaging (fMRI) data, based on adaptive Gauss Markov random fields, for real as well as simulated data. The implemented models make use of efficient Markov Chain Monte Carlo methods. Implemented methods are based on the research developed by A. Brezger, L. Fahrmeir, A. Hennerfeind (2007) https://www.jstor.org/stable/4626770.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • 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 1.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
50%3 run in a plain check · 3 hold no code
Exported functions with examples
75%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
9%

Downloads

3.3K
CRAN downloads in the past year
Rank #9,259 · ~9/day · ~272/mo
Daily download trend is not available in this view yet.
33030 days
1.1K90 days
3.3K1 year
Compare downloads with other packages →
Also on97 r2u30 autocran190 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing adaptsmoFMRI adds 22 packages (16 with compiled code, 15 MB of source tarballs). Heaviest: spatstat 4.3 MB, spatstat.data 2.9 MB, mcmc 1.5 MB.

Depends (1)
R >= 4.2.0
Imports (9)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer, Contributor · added in 1.2

Maintainer since 1.0 (2012)

Listed in earlier versions (1)
Max Hughes
no longer listed · 1.0 to 1.1
Releases (3)

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
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-09-25
  • 1.2Latest
    record
    2022-09-25 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-03-19
    check problems were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.0.0 released · 2013-04-03
  • 1.1
    record
    2013-01-19 · diff ↗
  • 1.0
    record
    2012-11-09
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2012-11-09
Total releases
3 / 14 yrs
License
GPL-2 OSI
Minimum R
≥ 4.2.0
Bundled data
1.2 MB / 3 files
Download size
1.2 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("adaptsmoFMRI")
Hughes, M. (2022). adaptsmoFMRI: Adaptive Smoothing of FMRI Data (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.adaptsmoFMRI

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 adaptsmoFMRI version 1.2 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy