Provides functions to generate, format, and style surface plots for visualizing combined action data.  Also provides functions for reporting on a BRAID analysis, including plotting curve-shifts, calculating IAE values, and producing full BRAID analysis reports.

Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Dose (BRAID) model of combined action.

Deals with the braid groups. Includes creation of some
    specific braids, group operations, free reduction, and Bronfman
    polynomials. Braid theory has applications in fluid mechanics and
    quantum physics. The code is adapted from the 'Haskell' library
    'combinat', and is based on Birman and Brendle (2005)
    <doi:10.48550/arXiv.math/0409205>.

Blind users do not have access to the graphical output from R
    without printing the content of graphics windows to an embosser of
    some kind. This is not as immediate as is required for efficient
    access to statistical output.  The functions here are created so that
    blind people can make even better use of R. This includes the text
    descriptions of graphs, convenience functions to replace the
    functionality offered in many GUI front ends, and experimental
    functionality for optimising graphical content to prepare it for
    embossing as tactile images.

A statistical tool to inference the multi-level partial correlations based on multi-subject time series data, especially for brain functional connectivity. It combines both individual and population level inference by using  the methods of Qiu and Zhou. (2021)<DOI: 10.1080/01621459.2021.1917417> and Genovese and Wasserman. (2006)<DOI: 10.1198/016214506000000339>. It realizes two reliable estimation methods of partial correlation coefficients, using scaled lasso and lasso. It can be used to estimate individual- or population-level partial correlations, identify nonzero ones, and find out unequal partial correlation coefficients between two populations.