Other packages > Find by keyword >

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 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA