person("Anita", "Nandi", email = "anita.k.nandi@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-5087-2494")),
person("Tim", "Lucas", email =  "timcdlucas@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4694-8107")),
Author: Anita Nandi [aut] (<https://orcid.org/0000-0002-5087-2494>),

Title: Automated Retrieval of Disaster Event Data
Description: Access and manage the application programming interface (API) of the United Nations Office for the Coordination of Humanitarian Affairs' (OCHA) ReliefWeb disaster events at <https://reliefweb.int/disasters/>. It makes it easy to retrieve a user-defined sample (or all of the available data) from ReliefWeb, enabling a seamless integration of regular data updates into the research work flow.

Description: Access and manage the application programming interface (API) of the United Nations Office for the Coordination of Humanitarian Affairs' (OCHA) ReliefWeb disaster events at <https://reliefweb.int/disasters/>. The package offers functionality to retrieve a user-defined sample of disaster events from ReliefWeb, providing an easy alternative to scraping the ReliefWeb website. It enables a seamless integration of regular data updates into the research work flow.

Title: Wrapper for the UN OCHA ReliefWeb Disaster Events API
Description: Access and manage the application programming interface (API) of the United Nations Office for the Coordination of Humanitarian Affairs' (OCHA) ReliefWeb disaster events at <https://reliefweb.int/disasters/>. The package requires a minimal number of dependencies. It offers functionality to retrieve a user-defined sample of disaster events from ReliefWeb, providing an easy alternative to scraping the ReliefWeb website. It enables a seamless integration of regular data updates into the research work flow.

Title: Bayesian Multi-State Modelling of Chronic Disease Burden Data
person("Christopher", "Jackson", , "chris.jackson@mrc-bsu.cam.ac.uk", role = c("aut", "cre", "cph"),
Description: Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence.  The methods are described in Jackson et al. (2021) <arXiv:2111.14100>.
Imports: dplyr, tidyr, magrittr, tibble, generics, methods, Rcpp (>=
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppParallel, RcppEigen
Suggests: knitr, rmarkdown, rstantools (>= 2.0.0.9000), tempdisagg,
Author: Christopher Jackson [aut, cre, cph]