In the context of multistate models, which are popular in sociology,
    demography, and epidemiology, Markov chain with rewards calculations can
    help to refine transition timings and so obtain more accurate estimates. The
    package code accommodates up to nine transient states and irregular age (time)
    intervals. Traditional demographic life tables result as a special case.
    Formulas and methods involved are explained in detail in the accompanying
    article: Schneider / Myrskyla / van Raalte (2021): Flexible Transition Timing
    in Discrete-Time Multistate Life Tables Using Markov Chains with Rewards,
    MPIDR Working Paper WP-2021-002.

Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.

Produces clean and neat Markdown log file
    and also provide an argument to include the function call inside the Markdown log.

The routine twosample_test() in this package runs the
    two-sample test using various test statistic for multivariate data. 
    The user can also run several tests and then find a p value adjusted for simultaneous inference.
    The p values are found via permutation or via the parametric bootstrap. 
    The routine twosample_power() allows the estimation of the power of the tests. 
    The routine run.studies() allows a user to quickly study the power of a new method and 
    how it compares to those included in the package.
    For details of the methods and references see the included vignettes.

Provides an R wrapper for the 'MD4C' (Markdown for 'C')
    library.  Functions exist for parsing markdown ('CommonMark'
    compliant) along with support for other common markdown extensions
    (e.g. 'GitHub' flavored markdown, 'LaTeX' equation support, etc.). The
    package also provides a number of higher level functions for exploring
    and manipulating markdown abstract syntax trees as well as translating
    and displaying the documents.