A data set package with the "Orsi" and "Park/Durand" fronts as
    'SpatialLinesDataFrame' objects. The Orsi et al. (1995) fronts are published at
    the Southern Ocean Atlas Database Page, and the Park et al. (2019) fronts are published at the 'SEANOE' 
    Altimetry-derived Antarctic Circumpolar Current fronts page, please see package CITATION for details.

Reconstructs plausible 2 by 2 contingency tables from
    published cohort-study summaries when the original cell counts are
    unavailable. Given group sample sizes and an odds ratio with partial
    confidence interval information, the package searches for compatible
    event counts, then derives corresponding relative risks and confidence
    intervals. It implements the methods described in Wang (2013)
    <doi:10.18637/jss.v055.i05> and includes summary and plotting methods
    for reviewing admissible scenarios.

Takes images, imported via 'imager', and converts them into a data
  frame that can be plotted to look like the imported image.  This can be used 
  for creating data that looks like a specific image. Additionally, images with
  color and alpha channels can be converted to grayscale in preparation for 
  converting to the data frame format.

A modified version of alternating logistic regressions (ALR) with estimation based on orthogonalized residuals (ORTH) is implemented, which use paired estimating equations to jointly estimate parameters in marginal mean and within-association models. The within-cluster association between ordinal responses is modeled by global pairwise odds ratios (POR). A finite-sample bias correction is provided to POR parameter estimates based on matrix multiplicative adjusted orthogonalized residuals (MMORTH) for correcting estimating equations, and different bias-corrected variance estimators such as BC1, BC2, and BC3.

An R Interface to 'Orthanc' DICOM servers for medical imaging workflows.
    'Orthanc' is a lightweight, open-source DICOM server that exposes a comprehensive
    REST API for managing, querying, retrieving, and modifying DICOM resources 
    (<https://www.orthanc-server.com>). The goal of this package is to provide 
    comprehensive and user-friendly access to the 'Orthanc' REST API, designed to 
    align with idiomatic R workflows while preserving the structure and semantics
    of DICOM resources.