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.
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
MoveRaims to help users analyze the output of automated video-tracking solutions in a reproducible, reliable and open framework. In particular,MoveRcan 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,
MoveRis 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.