CRAN/E | santaR

santaR

Short Asynchronous Time-Series Analysis

Installation

About

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.

github.com/adwolfer/santaR
adwolfer.github.io/santaR/
Bug report File report

Key Metrics

Version 1.2.4
R ≥ 4.2
Published 2024-03-07 216 days ago
Needs compilation? no
License GPL-3
CRAN checks santaR results

Downloads

Yesterday 6 +500%
Last 7 days 35 -49%
Last 30 days 184 -22%
Last 90 days 801 +20%
Last 365 days 2.930 +22%

Maintainer

Maintainer

Arnaud Wolfer

Authors

Arnaud Wolfer

aut / cre

Timothy Ebbels

ctb

Joe Cheng

ctb

(Shiny javascript custom-input control)

Material

README
NEWS
Reference manual
Package source

Vignettes

Advanced command line functions
Automated command line analysis
Getting Started with the santaR package
Plotting options
How to prepare input data for santaR
Selecting an optimal number of degrees of freedom
santaR Theoretical Background
santaR: Graphical user interface

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

santaR archive

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

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