Providing a common set of simplified web scraping tools for working with the NHS Data Dictionary <https://datadictionary.nhs.uk/data_elements_overview.html>.
    The intended usage is to access the data elements section of the NHS Data Dictionary to access key lookups.
    The benefits of having it in this package are that the lookups are the live lookups on the website and will not need to be maintained.
    This package was commissioned by the NHS-R community <https://nhsrcommunity.com/> to provide this consistency of lookups.
    The OpenSafely lookups have now been added <https://www.opencodelists.org/docs/>.

Provides functions for working with NHS number checksums.
    The UK's National Health Service issues NHS numbers to all users of its
    services and this package implements functions for verifying that the
    numbers are valid according to the checksum scheme the NHS use.
    Numbers can be validated and checksums created.

Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package contains synthetic data based on real healthcare datasets, or cuts of open-licenced official data.  This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.

Provides tools for drawing Statistical Process Control (SPC) charts. This package supports the NHS 'Making Data Count' programme, and allows users to draw XmR charts, use change points and apply rules with summary indicators for when rules are breached.

Waiting list management using queuing theory to analyse, predict and manage queues, based on the approach described in Fong et al. (2022) <doi:10.1101/2022.08.23.22279117>.  Aimed at UK National Health Service (NHS) applications, waiting list summary statistics, target-value calculations, waiting list simulation, and scheduling functions are included.

Illustrate graphically the most common Null Hypothesis Significance Testing procedures. More specifically, this package provides functions to plot Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests, by plotting the probability density under the null hypothesis as a function of the different test statistic values. Although highly flexible (color theme, fonts, etc.), only the minimal number of arguments (observed test statistic, degrees of freedom) are necessary for a clear and useful graph to be plotted, with the observed test statistic and the p value, as well as their corresponding value labels. The axes are automatically scaled to present the relevant part and the overall shape of the probability density function. This package is especially intended for education purposes, as it provides a helpful support to help explain the Null Hypothesis Significance Testing process, its use and/or shortcomings.