Allows clinicians to predict the rate and severity of future acute exacerbation in Chronic Obstructive Pulmonary Disease (COPD) patients, based on the clinical prediction models published in Adibi et al. (2020) <doi:10.1016/S2213-2600(19)30397-2> and Safari et al. (2022) <doi:10.1016/j.eclinm.2022.101574>.

Provides functionality for creating and
	evaluating acceptance sampling plans. Sampling plans can be single,
	double or multiple.

Provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. Proposed by von Neumann J. (1951), <https://mcnp.lanl.gov/pdf_files/>, the function is optimized to work in parallel on Unix-based operating systems and performs well on Windows systems. The acceptance-rejection method implemented optimizes the probability of generating observations from the desired random variable, by simply providing the probability function or probability density function, in the discrete and continuous cases, respectively. Implementation is based on references CASELLA, George at al. (2004) <https://www.jstor.org/stable/4356322>,  NEAL, Radford M. (2003) <https://www.jstor.org/stable/3448413> and Bishop, Christopher M. (2006, ISBN: 978-0387310732).

A set of fast and convenient functions to help conducting
    accessibility analyses. Given a pre-computed travel cost matrix and a
    land use dataset (containing the location of jobs, healthcare and
    population, for example), the package allows one to calculate
    accessibility levels and accessibility poverty and inequality. The
    package covers the majority of the most commonly used accessibility
    measures (such as cumulative opportunities, gravity-based and floating
    catchment areas methods), as well as the most frequently used
    inequality and poverty metrics (such as the Palma ratio, the
    concentration and Theil indices and the FGT family of measures).

Provides functions to produce accessible 'HTML' slides, 'HTML', 
    'Word' and 'PDF' documents from input 'R markdown' files. Accessible 'PDF' 
    files are produced only on a 'Windows' Operating System. One aspect of 
    accessibility is providing a headings structure that is recognised by a 
    screen reader, providing a navigational tool for a blind or 
    partially-sighted person. A key aim is to produce documents of different 
    formats easily from each of a collection of 'R markdown' source files. 
    Input 'R markdown' files are rendered using the render() function from the 
    'rmarkdown' package <https://cran.r-project.org/package=rmarkdown>. A 'zip' 
    file containing multiple output files can be produced from one function 
    call. A user-supplied template 'Word' document can be used to determine the 
    formatting of an output 'Word' document. Accessible 'PDF' files are 
    produced from 'Word' documents using 'OfficeToPDF' 
    <https://github.com/cognidox/OfficeToPDF>. A convenience function, 
    install_otp() is provided to install this software. The option to print 
    'HTML' output to (non-accessible) 'PDF' files is also available.