R/london.R

In bdlnm: Bayesian Distributed Lag Non-Linear Models (B-DLNM)

#' London temperature and mortality data
#'
#' The dataset includes observed daily mean temperature and total number of deaths in London between 2000 and 2011. Mortality data is stratified for <75 years and 75+ years age groups. The dataset is based on the data used in Vicedo-Cabrera et al. (2019).
#'
#' @docType data
#' @keywords datasets
#' @usage data(london)
#'
#' @format ## `london`
#' A tibble with 8.279 rows and 7 columns:
#' \describe{
#'   \item{time}{Date index}
#'   \item{date}{Date}
#'   \item{year}{Year}
#'   \item{dow}{Day of the week}
#'   \item{tmean}{Temperature mean}
#'   \item{mort_00_74}{Mortality in the age group <75 years}
#'   \item{mort_75plus}{Mortality in the age group +75 years}
#'   \item{mort}{All mortality}
#' }
#'
#' @source Data originally published by Vicedo-Cabrera (2019) <doi:10.1097/EDE.0000000000000982>.
#'
#' @references
#' Vicedo-Cabrera A.M., Sera F., Gasparrini A. (2019). Hands-on tutorial on a modeling framework for projections of climate change impacts on health. _Epidemiology_, 30(3), 321-329. <doi:10.1097/EDE.0000000000000982>.
#'
"london"