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santaR: Short Asynchronous Time-Series Analysis

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 variableshighlighting 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 andparallel automated analysis and reporting, intuitive visualisation and comprehensive plottingoptions for non-specialist users.

Version:	1.2.4
Depends:	R (≥ 4.2)
Imports:	plyr (≥ 1.8.9),foreach (≥ 1.5.2),doParallel (≥ 1.0.17),pcaMethods (≥ 1.92.0),ggplot2 (≥ 3.5.0),gridExtra (≥ 2.3),reshape2 (≥ 1.4.3),iterators (≥ 1.0.9),shiny (≥ 1.8.0),bslib,DT (≥ 0.9)
Suggests:	knitr,rmarkdown,pander,R.rsp,testthat
Published:	2024-03-07
DOI:	10.32614/CRAN.package.santaR
Author:	Arnaud Wolfer [aut, cre], Timothy Ebbels [ctb], Joe Cheng [ctb] (Shiny javascript custom-input control)
Maintainer:	Arnaud Wolfer <adwolfer at gmail.com>
BugReports:	https://github.com/adwolfer/santaR/issues/new
License:	GPL-3
URL:	https://github.com/adwolfer/santaR,https://adwolfer.github.io/santaR/
NeedsCompilation:	no
Materials:	README,NEWS
CRAN checks:	santaR results

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