Utilities for reading data from the Human Mortality Database (<https://www.mortality.org>), Human Fertility Database (<https://www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<https://www.fertilitydata.org>), The Japanese Mortality Database (<https://www.ipss.go.jp/p-toukei/JMD/index-en.html>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.

Classification performance metrics that are derived from the ROC
    curve of a classifier. The package includes the H-measure performance metric
    as described in <http://link.springer.com/article/10.1007/s10994-009-5119-5>,
    which computes the minimum total misclassification cost, integrating over any
    uncertainty about the relative misclassification costs, as per a user-defined
    prior. It also offers a one-stop-shop for other scalar metrics of performance,
    including sensitivity, specificity and many others, and also offers plotting
    tools for ROC curves and related statistics.

A set of objects and functions for Bayes Linear emulation and history matching.
  Core functionality includes automated training of emulators to data, diagnostic functions
  to ensure suitability, and a variety of proposal methods for generating 'waves' of points.
  For details on the mathematical background, there are many papers available on the topic
  (see references attached to function help files or the below references); for details of 
  the functions in this package, consult the manual or help files.
  Iskauskas, A, et al. (2024) <doi:10.18637/jss.v109.i10>.
  Bower, R.G., Goldstein, M., and Vernon, I. (2010) <doi:10.1214/10-BA524>.
  Craig, P.S., Goldstein, M., Seheult, A.H., and Smith, J.A. (1997) <doi:10.1007/978-1-4612-2290-3_2>.