Built by Hodges lab members for current and future Hodges lab members. Other individuals are welcome to use as well. Provides useful functions that the lab uses everyday to analyze various genomic datasets. Critically, only general use functions are provided; functions specific to a given technique are reserved for a separate package. As the lab grows, we expect to continue adding functions to the package to build on previous lab members code.

Estimates treatment effects  using covariate adjustment methods in Randomized Clinical Trials (RCT) motivated by higher-order influence functions (HOIF). Provides point estimates, oracle bias, variance, and approximate variance for HOIF-adjusted estimators. For methodology details, see Zhao et al. (2024) <doi:10.48550/arXiv.2411.08491> and Gu et al. (2025) <doi:10.48550/arXiv.2512.20046>.

Higher order likelihood inference is a promising approach for
    analyzing small sample size data. The 'holi' package provides web applications
    for higher order likelihood inference. It currently supports linear, logistic,
    and Poisson generalized linear models through the rstar_glm() function, based
    on Pierce and Bellio (2017) <doi:10.1111/insr.12232> and 'likelihoodAsy'.
    The package offers two main features: LA_rstar(), which launches an interactive
    'shiny' application allowing users to fit models with rstar_glm() through their
    web browser, and sim_rstar_glm_pgsql(), which streamlines the process of
    launching a web-based 'shiny' simulation application that saves results to a
    user-created 'PostgreSQL' database.

Holistic generalized linear models (HGLMs) extend generalized linear models (GLMs) by enabling the possibility to add further constraints to the model. The 'holiglm' package simplifies estimating HGLMs using convex optimization. Additional information about the package can be found in the reference manual, the 'README' and the accompanying paper <doi:10.18637/jss.v108.i07>.

Offers a convenient way to compute parameters in the framework of the theory of vocational choice introduced by J.L. Holland, (1997). A comprehensive summary to this theory  of vocational choice is given in Holland, J.L. (1997). Making vocational choices. A theory of vocational personalities and work environments.  Lutz, FL: Psychological Assessment.