Cohort plAtform Trial Simulation whereby every cohort consists of two arms, 
             control and experimental treatment. Endpoints are co-primary binary endpoints and
             decisions are made using either Bayesian or frequentist decision rules. 
             Realistic trial trajectories are simulated and the operating characteristics of the 
             designs are calculated.

Provides the tools to produce catseye plots, principally
    by catseyesplot() function which calls R's standard plot() function internally, or alternatively
    by the catseyes() function to overlay the catseye plot onto an existing
    R plot window. Catseye plots illustrate the normal distribution of the mean (picture a 
    normal bell curve reflected over its base and rotated 90 degrees), with a shaded confidence
    interval; they are an intuitive way of illustrating and comparing normally distributed estimates,
    and are arguably a superior alternative to standard confidence intervals, since they show the full
    distribution rather than fixed quantile bounds. The catseyesplot and catseyes functions require
    pre-calculated means and standard errors (or standard deviations), provided as numeric vectors;
    this allows the flexibility of obtaining this information from a variety of sources, such as
    direct calculation or prediction from a model.  Catseye plots, as illustrations of the
    normal distribution of the means, are described in Cumming (2013 & 2014).
    Cumming, G. (2013). The new statistics: Why and how. Psychological Science, 27, 7-29. <doi:10.1177/0956797613504966> pmid:24220629.

Computes a structural similarity metric (after the style of
    MS-SSIM for images) for binary and categorical 2D and 3D images. Can be
    based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted
    Rand index, Jaccard index, Dice index, normalized mutual information, or
    adjusted mutual information. In addition, has fast computation
    of Cohen's kappa, the Rand indices, and the two mutual informations.
    Implements the methods of Thompson and Maitra (2020) <doi:10.48550/arXiv.2004.09073>.