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If you are the author of the package, does it pass CRAN check tests?
I don't know
Additional information
MoveR aims to help users analyze the output of automated video-tracking solutions in a reproducible, reliable and open framework. In particular, MoveR can import, clean/filter and analyze raw particles/animal movement data obtained from video-tracking softwares. The analysis covers the characterization of behavioral states, computation of expected diffusion coefficient D (a proxy of population dispersal), and identification of arbitrary patterns.
Although focusing on video data, MoveR is an overarching package that could fit into "Pre-processing", "Post-processing", "Visualization", "Track description", "Behavioral pattern identification", and possibly "Others analyses of tracking data". The generality of the package (once tracking data are extracted from videos) needs to be explored.
The text was updated successfully, but these errors were encountered:
@rociojoo I need help here… not sure where to put this package, as it definitely fits into the CTV, but provides an independent framework to deal with video tracking data (in other words, all the functions can only be applied to this kind of data following the workflow).
Given the scope of this package (images/videos from tracking software in arenas), I suggest to include it in Dealing with movement but not tracking data > Non-biologging data, together with trackdem.
I've been playing a little bit with some examples and it looks like it can ingest tracking data, but it loads it in R in a non-tracking format, so I think I agree with you. We could put it in movement but not tracking.
Are you the author of the package?
No
Is the package on a specific repository?
GitHub
Please provide the URL of the package repository
https://github.com/qpetitjean/MoveR
Is there a dedicated website for the documentation (e.g. a pkgdown website)?
https://qpetitjean.github.io/MoveR/
If you are the author of the package, does it pass CRAN check tests?
I don't know
Additional information
MoveR
aims to help users analyze the output of automated video-tracking solutions in a reproducible, reliable and open framework. In particular,MoveR
can import, clean/filter and analyze raw particles/animal movement data obtained from video-tracking softwares. The analysis covers the characterization of behavioral states, computation of expected diffusion coefficient D (a proxy of population dispersal), and identification of arbitrary patterns.Although focusing on video data,
MoveR
is an overarching package that could fit into "Pre-processing", "Post-processing", "Visualization", "Track description", "Behavioral pattern identification", and possibly "Others analyses of tracking data". The generality of the package (once tracking data are extracted from videos) needs to be explored.The text was updated successfully, but these errors were encountered: