ptw
Parametric Time Warping
Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported. A vignette for the latter is contained in the inst/doc directory of the source package - the vignette source can be found on the package github site.
- Version1.9-16
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- ptw citation info
- Last release01/19/2022
Documentation
Team
Ron Wehrens
MaintainerShow author detailsPaul Eilers
Show author detailsRolesAuthorJan Gerretzen
Show author detailsRolesContributorHans Wouters
Show author detailsRolesContributorTom Bloemberg
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 865 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 39 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 10,190 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Nov 06, 2024 with 118 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Reverse Depends2 packages
- Reverse Imports4 packages