Cumulative descriptive statistics for (arithmetic, geometric, harmonic) mean, median, mode, variance, skewness and kurtosis.

c(
person("Dmitriy", "Bolotov", email = "dmitriy.bolotov@softwareag.com", role = c("aut", "cre")),
person("Software AG", role = c("cph")))
Access the 'Cumulocity' API and retrieve data on devices, measurements, and events. Documentation for the API can be found at <https://www.cumulocity.com/guides/reference/rest-implementation/>.
Dmitriy Bolotov [aut, cre],
Software AG [cph]

Cumulative Percent Decay Curve Generator
person(given = "James A.",
family = "Fellows Yates",
role = c("aut", "cre"),
email = "jfy133@gmail.com",
comment = c(ORCID = "0000-0001-5585-6277"))
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.
dplyr, ggplot2, magrittr, readr, rlang, tidyr
James A. Fellows Yates [aut, cre]
(<https://orcid.org/0000-0001-5585-6277>)
James A. Fellows Yates <jfy133@gmail.com>

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. Method
described in Fellows Yates, J. A. et. al. (2021) Proceedings of the
National Academy of Sciences USA <doi:10.1073/pnas.2021655118>.

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-
censoring. See Hou, Chambers and Xu (2017) <doi:10.1007/s10985-017-9415-2>.

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,
try the RCurl or httr packages instead.