Description: Provide function for work with 'AcademyOcean API'
Imports: cli, dplyr, httr2, pbapply, purrr, rappdirs, retry, rlang,

Title: Racing methods for the selection of the best
Description: Implementation of some racing methods for the empirical
selection of the best. If the R package `rpvm' is installed
(and if PVM is available, properly configured, and initialized),
the evaluation of the candidates are performed in parallel on

Packaged: Wed Mar 30 14:41:18 2005; mbiro

(and if PVM is available, properly configured, and
initialized), the evaluation of the candidates are performed in
Packaged: Fri Feb 5 17:57:10 2010; mbiro

Title: Pattern-Based Zoneless Method for Analysis and Visualization of
c(person(given = "Jakub", family = "Nowosad", role = c("aut", "cre"),
email = "nowosad.jakub@gmail.com", comment = c(ORCID = "0000-0002-1057-3721")),
person("Anna", "Dmowska", role = c("aut")),
person("Tomasz", "Stepinski", role = c("aut")))
Description: Implements a computational framework for a pattern-based,
zoneless analysis, and visualization of (ethno)racial topography. It is a reimagined
approach for analyzing residential segregation and racial diversity based on
the concept of 'landscape’ used in the domain of landscape ecology.
LinkingTo: Rcpp, comat (>= 0.3.0), RcppArmadillo
Imports: fasterize, methods, plotwidgets, raster, sf, Rcpp, comat
Suggests: dplyr, rgdal, pbapply, testthat (>= 2.1.0), knitr, rmarkdown,

LinkingTo: Rcpp, comat (>= 0.7.0), RcppArmadillo

Imports: fasterize, methods, plotwidgets, raster, rgdal, sf, Rcpp,
Suggests: dplyr, pbapply, testthat (>= 2.1.0), knitr, rmarkdown,

zoneless analysis, and visualization of (ethno)racial topography
(Dmowska, Stepinski, and Nowosad (2020) <doi:10.1016/j.apgeog.2020.102239>).

LinkingTo: Rcpp, comat (>= 0.9.0), RcppArmadillo

Title: Rapid A/Ci Response (RACiR) Data Analysis
Authors@R: person("Joseph", "Stinziano", email = "josephstinziano@gmail.com",
Description: Contains functions useful for reading in Licor 6800 files,
correcting and analyzing rapid A/Ci response (RACiR) data. Requires some
user interaction to adjust the calibration (empty chamber) data file to
a useable range. Calibration uses a 1st to 5th order polynomial as
suggested in Stinziano et al. (2017) <doi:10.1111/pce.12911>.
Data can be processed individually or batch processed for all files paired
with a given calibration file. RACiR is a trademark of LI-COR Biosciences,
Packaged: 2020-07-29 15:48:49 UTC; Joseph Stinziano
Author: Joseph Stinziano [aut, cre] (<https://orcid.org/0000-0002-7628-4201>)