This package was removed from CRAN on 2020-08-03. Its history is shown below.
Reason: check problems were not corrected in time
Details below reflect version 1.0, its last release before removal.
Multiresolution time warping for functional data.
0packages depend
–downloads / year
–test coverage
–flavors OK
Overview
About
Maintained by Gerda ClaeskensCRAN page ↗
The Bayesian procedure starts with one warplet in the model and uses the posterior distributions as priors for a more extended model with one more warplet. The model is built with adding one warplet at a time and allows for amplitude variations.
Install
Health
CRAN checks
CRAN check results are not tracked yet.
Advisories
Documentation
In release 1.0
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
- Help pages
- 5includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 67%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 80%
Downloads
MRwarping
Daily download trend is not available in this view yet.
Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Code & Tests
Datasets
People & History
People (3)
Maintainer since 1.0 (2013)
Releases (1)
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-08-03check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.02013-08-16
- RR 3.0.0 released · 2013-04-03
0 of 2 selectedCompare selected
Package metadata
- First published
- 2013-08-16
- Total releases
- 1 / 13 yrs
- License
- GPL-2 OSI
- Bundled data
- 16 KB / 1 file
Cite
Cite this package
Run in R for the authors' entry:
citation("MRwarping")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.