Suggests: crosstalk, rmarkdown, knitr, shiny, testthat (>= 3.0.0)

Imports: htmlwidgets, htmltools (>= 0.5.0), dplyr (>= 0.7.0), shiny (>=
Suggests: magrittr, crosstalk, rmarkdown, knitr, testthat (>= 3.0.0),

Description: Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty' users build R lists for 'ECharts' API. Lean set of powerful commands.
Suggests: crosstalk, rmarkdown, knitr, testthat (>= 3.0.0)

person("Larry", "Helgason", email = "larry@helgasoft.com", role = c("cre", "aut", "cph")),
person("John", "Coene", role = c("aut", "cph"), comment = "echarts4r library")
Suggests: crosstalk, rmarkdown, knitr, testthat (>= 3.0.0), sf
John Coene [aut, cph] (echarts4r library)

Title: The Echelon Analysis and the Detection of Spatial Clusters using
Description: Functions for the echelon analysis developed proposed by Myers et al. (1997) <doi:10.1023/A:1018518327329>, and the detection of spatial clusters using echelon scan method proposed by Kurihara (2003) <doi:10.20551/jscswabun.15.2_171>.

Title: Finding Rhythms Using Extended Circadian Harmonic Oscillators
Authors@R: c(person("Hannah", "De los Santos", email = "delosh@rpi.edu",
person("Emily", "Collins", role = c("aut")),
person("Jonathan", "Shewchuk", role = c("ctb")),
person("E.F.", "Harding", role = c("ctb")),
person("Kristin", "Bennett", role = c("aut")),
person("Jennifer", "Hurley", role = c("aut")))
Description: Provides a function (echo_find()) designed to find rhythms
from data using extended harmonic oscillators. For more information,
Author: Hannah De los Santos [aut, cre],
Maintainer: Hannah De los Santos <delosh@rpi.edu>

Authors@R: c(person("Hannah", "De los Santos", role = c("aut")),
person("Jennifer", "Hurley", email = "hurlej2@rpi.edu", role = c("aut","cre")),
person("R Development Core Team", role = c("aut")))
see H. De los Santos et al. (2020) <doi:10.1093/bioinformatics/btz617> .

person("Jennifer", "Hurley", role = c("aut")),

Title: Echogram Visualisation and Analysis
Description: Easily import multi-frequency acoustic data stored in 'HAC' files (see <http://biblio.uqar.ca/archives/30005500.pdf> for more information on the format), and produce echogram visualisations with predefined or customized color palettes. It is also possible to merge consecutive echograms; mask or delete unwanted echogram areas; model and subtract background noise; and more important, develop, test and interpret different combinations of frequencies in order to perform acoustic filtering of the echogram's data.