An interface to the API for 'Pan-STARRS1', a data archive of
    the PS1 wide-field astronomical survey.  The package allows access to
    the PS1 catalog and to the PS1 images.  (see
    <https://outerspace.stsci.edu/display/PANSTARRS/> for more
    information).  You can use it to plan astronomical observations, make
    guidance pictures, find magnitudes in five broadband filters (g, r, i,
    z, y) and more.

Sankey diagrams are a powerfull and visually attractive way
  to visualize the flow of conservative substances through a system.
  They typically consists of a network of nodes, and fluxes between them,
  where the total balance in each internal node is 0, i.e. input equals output.
  Sankey diagrams are typically used to display energy systems, material flow accounts etc.
  Unlike so-called alluvial plots, Sankey diagrams also allow for cyclic flows:
  flows originating from a single node can, either direct or indirect, contribute to the input of that same node.
  This package, named after the Greek aphorism Panta Rhei (everything flows),
  provides functions to create publication-quality diagrams, using data in tables (or spread sheets)
  and a simple syntax.

Tools to create dynamic, submission-ready manuscripts, which
  conform to American Psychological Association manuscript guidelines. We
  provide R Markdown document formats for manuscripts (PDF and Word) and
  revision letters (PDF). Helper functions facilitate reporting statistical
  analyses or create publication-ready tables and plots.

Positive predictive value (PPV) defined as the conditional probability of clinical trial assay (CTA) being positive given Companion diagnostic device (CDx) being positive is a key performance parameter for evaluating the clinical validity utility of a companion diagnostic test in clinical bridging studies. When bridging study patients are enrolled based on CTA assay results, Binomial-based confidence intervals (CI) may are not appropriate for PPV CI estimation. Bootstrap CIs which are not restricted by the Binomial assumption may be used for PPV CI estimation only when PPV is not 100%. Bootstrap CI is not valid when PPV is 100% and becomes a single value of [1, 1]. We proposed a risk ratio-based method for constructing CI for PPV. By simulation we illustrated that the coverage probability of the proposed CI is close to the nominal value even when PPV is high and negative percent agreement (NPA) is close to 100%. There is a lack of R package for PPV CI calculation. we developed a publicly available R package along with this shiny app to implement the proposed approach and some other existing methods.