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/>.

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>.

Contains functions for estimating generalized parametric mixture and non-mixture cure models <doi:10.1016/j.cmpb.2022.107125>, loss of lifetime, mean residual lifetime, and crude event probabilities.

Cure dependent censoring regression models for long-term survival multivariate data. These models are based on extensions of the frailty models, capable to accommodating the cure fraction and the dependence between failure and censoring times, with Weibull and piecewise exponential marginal distributions. Theoretical details regarding the models implemented in the package can be found in Schneider et al. (2022) <doi:10.1007/s10651-022-00549-0>.

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>.

Creates 'ggplot2' Cumulative Residual (CURE) plots to check the goodness-of-fit of a count model; or the tables to create a customized version. A dataset of crashes in Washington state is available for illustrative purposes.

Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.