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UpDown  

Detecting Group Disturbances from Longitudinal Observations
View on CRAN: Click here


Download and install UpDown package within the R console
Install from CRAN:
install.packages("UpDown")

Install from Github:
library("remotes")
install_github("cran/UpDown")

Install by package version:
library("remotes")
install_version("UpDown", "1.2.1")



Attach the package and use:
library("UpDown")
Maintained by
Tom Rohmer
[Scholar Profile | Author Map]
First Published: 2023-07-20
Latest Update: 2023-07-20
Description:
Provides an algorithm to detect and characterize disturbances (start, end dates, intensity) that can occur at different hierarchical levels by studying the dynamics of longitudinal observations at the unit level and group level based on Nadaraya-Watson's smoothing curves, but also a shiny app which allows to visualize the observations and the detected disturbances. Finally the package provides a dataframe mimicking a pig farming system subsected to disturbances simulated according to Le et al.(2022) <doi:10.1016/j.animal.2022.100496>.
How to cite:
Tom Rohmer (2023). UpDown: Detecting Group Disturbances from Longitudinal Observations. R package version 1.2.1, https://cran.r-project.org/web/packages/UpDown. Accessed 17 Feb. 2025.
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