Title: Tidy and Geospatial Kernel Smoothing
Authors@R: c(person("Tarn", "Duong", role=c("aut","cre"), email="tarn.duong@gmail.com", comment=c(ORCID="0000-0002-1198-3482")))
Imports: dplyr, FNN, ggplot2 (>= 3.0.0), isoband, ks, mapsf, sf
Suggests: colorspace, ggquiver, ggspatial, ggthemes, knitr, MASS,
Description: Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems.
Author: Tarn Duong [aut, cre] (<https://orcid.org/0000-0002-1198-3482>)

Imports: dplyr, ggplot2 (>= 3.0.0), isoband, ks, mapsf, sf
Description: Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems <doi:10.48550/arXiv.2203.01686>.

Title: empirical likelihood ratio tests for means
Description: empirical likelihood ratio tests for means

Title: A 'shiny' Application for Exploring Laboratory Data
Author: Silke Janitza, Steffen Jeske, Madhurima Majumder, Franco Mendolia, Hermann Kulmann
Description: A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives.
Imports: shiny, V8, dplyr, purrr, rlang, tidyr, forcats, RColorBrewer,
bsplus, dendextend, haven, plotly, reshape2, shape, shinyBS,
shinyWidgets, shinycssloaders, shinydashboard, shinyjs, gclus

Authors@R: c(person("Silke", "Janitza", role = "aut"),
person("Steffen", "Jeske", email = "steffen.jeske.ext@bayer.com", role = c("aut","cre")),
person("Madhurima", "Majumder", role = "aut"),
person("Franco", "Mendolia", role = "aut"),
person("Hermann", "Kulmann", role = "aut"))
Imports: shiny, dplyr, purrr, rlang, tidyr, forcats, RColorBrewer,
bsplus, dendextend, haven, reshape2, shape, shinyWidgets,

Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Description: Provides functions to align curves and to compute mean curves based on the
elastic distance defined in the square-root-velocity framework. For more details on
this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>).