Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI,
             nrrd and npy (numpy array) file formats.
             RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and
             geometry-based statistics. Almost all calculations are done using vectorized formulas to
             optimize run speeds. Calculation of several thousands of parameters only takes minutes
             on a single core of a conventional PC. Detailed methodology has been published: Kolossvary
             et al. Circ: Cardiovascular Imaging. 2017;10(12):e006843 <doi: 10.1161/CIRCIMAGING.117.006843>.

Allows interaction with 'Interactive Brokers' 'Trader Workstation'
    <https://interactivebrokers.github.io/tws-api/>.
    Handles the connection over the network and the exchange of messages.
    Data is encoded and decoded between user and wire formats.
    Data structures and functionality closely mirror the official implementations.

Recursive algorithms for computing various relatedness
    coefficients, including pairwise kinship, kappa and identity
    coefficients. Both autosomal and X-linked coefficients are computed.
    Founders are allowed to be inbred, which enables construction of any
    given kappa coefficients, as described in Vigeland (2020)
    <doi:10.1007/s00285-020-01505-x>. In addition to the standard
    coefficients, 'ribd' also computes a range of lesser-known
    coefficients, including generalised kinship coefficients, multi-person
    coefficients and two-locus coefficients (Vigeland, 2023,
    <doi:10.1093/g3journal/jkac326>). Many features of 'ribd' are
    available through the online app 'QuickPed' at
    <https://magnusdv.shinyapps.io/quickped>; see Vigeland (2022)
    <doi:10.1186/s12859-022-04759-y>.

The provided benchmark suite enables the automated evaluation and comparison of any existing and novel indirect method for reference interval ('RI') estimation in a systematic way.
	Indirect methods take routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and use sophisticated
	statistical methods to derive a model describing the distribution of the non-pathological samples, which can then be 
	used to derive reference intervals. The benchmark suite contains 5,760 simulated test sets with varying difficulty.
	To include any indirect method, a custom wrapper function needs to be provided. 
	The package offers functions for generating the test sets, executing the indirect method and evaluating the results.
	See ?RIbench or vignette("RIbench_package") for a more comprehensive description of the features. 
	A detailed description and application is described in Ammer T., Schuetzenmeister A., Prokosch H.-U., Zierk J., Rank C.M., Rauh M. "RIbench: A Proposed Benchmark for the Standardized Evaluation of Indirect Methods for Reference Interval Estimation". Clinical Chemistry (2022) <doi:10.1093/clinchem/hvac142>.