Implements the methodology of Huling, Smith, and 
    Chen (2020) <doi:10.1080/01621459.2020.1801449>, which allows for subgroup identification 
    for semi-continuous outcomes by estimating individualized treatment rules. It uses a two-part 
    modeling framework to handle semi-continuous data by separately modeling the positive part 
    of the outcome and an indicator of whether each outcome is positive, but still results in a 
    single treatment rule. High dimensional data is handled with a cooperative lasso penalty, 
    which encourages the coefficients in the two models to have the same sign.

Functions to setup a personal R package that attaches given
    libraries and exports personal helper functions.

Implements classical and contemporary utility-analysis methods 
    for personnel selection, organised by criterion scale (classification or
    continuous/monetary) and selection structure (compensatory or 
    multiple-hurdle). Methods include Taylor-Russell classification 
    (Taylor and Russell, 1939, <doi:10.1037/h0057079>), 
    Brogden-Cronbach-Gleser monetary utility (Brogden, 1949, 
    <doi:10.1111/j.1744-6570.1949.tb01397.x>), Schmidt-Hunter-Pearlman 
    intervention utility (Schmidt and others, 1979, 
    <doi:10.1037/0021-9010.64.6.609>), Sturman comprehensive cascade 
    (Sturman, 2001, <doi:10.1108/eb029072>), Thomas-Owen-Gunst 
    multivariate classification (Thomas and others, 1977, 
    <doi:10.3102/10769986002001055>), compensatory versus multiple-hurdle 
    simulation (Ock and Oswald, 2018, <doi:10.1027/1866-5888/a000205>), 
    AUC-to-effect-size conversions (Salgado, 2018, 
    <doi:10.5093/ejpalc2018a5>), Pareto frontiers for validity-diversity 
    trade-offs, and Monte Carlo uncertainty propagation.

An R-package-version of an open online science-based personality
    test from <https://openpsychometrics.org/tests/IPIP-BFFM/>,
    providing a better-designed interface and a more detailed report.
    The core command launch_test() opens a personality test in your browser,
    and generates a report after you click "Submit". In this report, your results
    are compared with other people's, to show what these results mean.
    Other people's data is from <https://openpsychometrics.org/_rawdata/BIG5.zip>.