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.

Provides a simple method to improve the accessibility of
    'rmarkdown' documents. The package provides functions for creating or
    modifying 'rmarkdown' documents, resolving known errors and alerts that
    result in accessibility issues for screen reader users.

Participant recruitment for medical research is challenging. Slow accrual leads to delays in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates the researcher's experience with previous trials and data from the current study, providing reliable predictions on accrual rate for clinical studies. For more details and background on these methodologies, see the publications of Byron, Stephen and Susan (2008) <doi:10.1002/sim.3128>, and Yu et al. (2015) <doi:10.1002/sim.6359>. In this R package, Bayesian accrual prediction functions are presented, which can be easily used by statisticians and clinical researchers.