Title: Cumulative Percent Decay Curve Generator
Description: Calculates and visualises cumulative percent 'decay' curves,
which are typically calculated from metagenomic taxonomic profiles.
These can be used to estimate the level of expected 'endogenous' taxa
at different abundance levels retrieved from metagenomic samples, when
comparing to samples of known sampling site or source.
Imports: dplyr, ggplot2, magrittr, readr, rlang, tidyr
Author: James A. Fellows Yates [aut, cre]
Maintainer: James A. Fellows Yates <jfy133@gmail.com>

comparing to samples of known sampling site or source. Method
described in Fellows Yates, J. A. et. al. (2021) Proceedings of the
National Academy of Sciences USA <doi:10.1073/pnas.2021655118>.
Suggests: knitr, rmarkdown, testthat, tibble

Title: NPMLE for Logistic-Cox Cure-Rate Model
Maintainer: Jue (Marquis) Hou <juehou@hsph.harvard.edu>
Description: Expectation-Maximization (EM) algorithm for point estimation and variance estimation to
the nonparametric maximum likelihood estimator (NPMLE) for
logistic-Cox cure-rate model with left truncation and right-

Title: A Connection Interface to Libcurl.
Description: The curl() function provides a drop-in replacement for base url()
with better performance and support for http 2.0, ssl (https, ftps), gzip,
deflate and other libcurl goodies. This interface is implemented using the
RConnection API in order to support incremental processing of both binary
and text streams. If you are looking for a more user friendly http client,
SystemRequirements: libcurl, OpenSSL (e.g: libcurl4-openssl-dev)

Title: A Connection Interface to Libcurl
with better performance and support for http 2.0, ssl (https://, ftps://),
gzip, deflate and other libcurl goodies. This interface is implemented
using the RConnection API in order to support incremental processing of
both binary and text streams. If you are looking for a more-user-friendly
http client, try the RCurl or httr packages instead.

Title: A Modern and Flexible Web Client for R
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "ctb"),
Description: The curl() and curl_download() functions provide highly configurable
drop-in replacements for base url() and download.file() with better performance,
support for HTTP 2.0, SSL (https://, ftps://), gzip, and other 'libcurl' goodies.
The core of the package implements a framework for performing fully customizable
requests where data can be processed either in memory, on disk, or streaming via
the callback or connection interfaces. Some knowledge of 'libcurl' is recommended;
for a more-user-friendly web client see the 'httr' package which builds on this
package with HTTP specific tools and logic.
Suggests: testthat, knitr, jsonlite, rmarkdown, magrittr