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santaR  

Short Asynchronous Time-Series Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("santaR", "1.2.4")



Attach the package and use:
library("santaR")
Maintained by
Arnaud Wolfer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-24
Latest Update: 2024-03-07
Description:
A graphical and automated pipeline for the analysis of short time-series in R ('santaR'). This approach is designed to accommodate asynchronous time sampling (i.e. different time points for different individuals), inter-individual variability, noisy measurements and large numbers of variables. Based on a smoothing splines functional model, 'santaR' is able to detect variables highlighting significantly different temporal trajectories between study groups. Designed initially for metabolic phenotyping, 'santaR' is also suited for other Systems Biology disciplines. Command line and graphical analysis (via a 'shiny' application) enable fast and parallel automated analysis and reporting, intuitive visualisation and comprehensive plotting options for non-specialist users.
How to cite:
Arnaud Wolfer (2018). santaR: Short Asynchronous Time-Series Analysis. R package version 1.2.4, https://cran.r-project.org/web/packages/santaR. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2018-01-24 19:27), 1.2.0 (2022-04-09 22:20), 1.2.2 (2022-05-22 01:00), 1.2.3 (2022-05-24 01:20)
Other packages that cited santaR R package
View santaR citation profile
Other R packages that santaR depends, imports, suggests or enhances
Complete documentation for santaR
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