Render R Markdown to Markdown (without using 'knitr'), and Markdown
    to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead
    of 'Pandoc'). Some missing Markdown features in 'commonmark' are also
    supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts,
    subscripts, footnotes, element attributes, and appendices,
    but not all 'Pandoc' Markdown features are (or will be) supported. With
    additional JavaScript and CSS, you can also create HTML slides and articles.
    This package can be viewed as a trimmed-down version of R Markdown and
    'knitr'. It does not aim at rich Markdown features or a large variety of
    output formats (the primary formats are HTML and 'LaTeX'). Book and website
    projects of multiple input documents are also supported.

Temporary and permanent message queues for R. Built on top of
    'SQLite' databases. 'SQLite' provides locking, and makes it possible
    to detect crashed consumers. Crashed jobs can be automatically marked
    as "failed", or put in the queue again, potentially a limited number of times.

An updated implementation of R package 'ranger' by Wright et al,
    (2017) <doi:10.18637/jss.v077.i01> for training and predicting from random
    forests, particularly suited to high-dimensional data, and for embedding in
    'Multiple Imputation by Chained Equations' (MICE) by van Buuren (2007)
    <doi:10.1177/0962280206074463>. Ensembles of classification and regression
    trees are currently supported. Sparse data of class 'dgCMatrix' (R package
    'Matrix') can be directly analyzed. Conventional bagged predictions are
    available alongside an efficient prediction for MICE via the algorithm
    proposed by Doove et al (2014) <doi:10.1016/j.csda.2013.10.025>. Trained
    forests can be written to and read from storage. Survival and probability
    forests are not supported in the update, nor is data of class 'gwaa.data'
    (R package 'GenABEL'); use the original 'ranger' package for these analyses.