Identifies what optimal subset of a desired number of items should be retained in a short version of a psychometric instrument to assess the “broadest” proportion of the construct-level content of the set of items included in the original version of the said psychometric instrument. Expects a symmetric adjacency matrix as input (undirected weighted network model). Supports brute force and simulated annealing combinatorial search algorithms.

Create short sprint acceleration-velocity (AVP) and force-velocity (FVP) profiles
     and predict kinematic and kinetic variables using the timing-gate split times, laser or 
     radar gun data, tether devices data, as well as the data provided by the GPS and LPS 
     monitoring systems. The modeling method utilized in this package is based on the works of 
    Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, 
    Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, 
    Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>,
    Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, 
    Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>, 
    Samozino P. and Peyrot N., et al (2022) <doi: 10.1111/sms.14097>, 
    Clavel, P., et al (2023) <doi: 10.1016/j.jbiomech.2023.111602>, 
    Jovanovic M. (2023) <doi: 10.1080/10255842.2023.2170713>, and
    Jovanovic M., et al (2024) <doi: 10.3390/s24092894>.

Generate and translate standard Universally Unique Identifiers (UUIDs) into shorter - or just different - formats and back. Also implements base58 encoders and decoders.

Analyzes shooting data with respect to group shape,
        precision, and accuracy. This includes graphical methods,
        descriptive statistics, and inference tests using standard,
        but also non-parametric and robust statistical methods.
        Implements distributions for radial error in bivariate normal
        variables. Works with files exported by 'OnTarget PC/TDS',
        'Silver Mountain' e-target, 'ShotMarker' e-target, 'SIUS'
        e-target, or 'Taran', as well as with custom data files in
        text format. Supports inference from range statistics such as
        extreme spread. Includes a set of web-based graphical user
        interfaces.