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DESCRIPTION
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DESCRIPTION
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Package: santaR
Title: Short Asynchronous Time-Series Analysis
Version: 1.2.4
Date: 2024-02-26
Authors@R: c(
person("Arnaud", "Wolfer", email = "adwolfer@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5856-3218")),
person("Timothy", "Ebbels", email = "t.ebbels@imperial.ac.uk", role = "ctb"),
person("Joe", "Cheng", email = "joe@rstudio.com", role = c("ctb"), comment = "Shiny javascript custom-input control"))
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.
Depends: R (>= 4.2)
License: GPL-3
BugReports: https://github.com/adwolfer/santaR/issues/new
URL: https://github.com/adwolfer/santaR, https://adwolfer.github.io/santaR/
Encoding: UTF-8
LazyData: true
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)
biocViews: pcaMethods (>= 1.92.0)
Suggests: knitr,
rmarkdown,
pander,
R.rsp,
testthat
VignetteBuilder: knitr,
R.rsp
RoxygenNote: 7.3.1