Post-selection inference in linear regression models,
    constructing simultaneous confidence intervals across a user-specified universe of models.
    Implements the methodology described in Kuchibhotla, Kolassa, and Kuffner (2022) "Post-Selection Inference"
    <doi:10.1146/annurev-statistics-100421-044639> to ensure valid inference after model
    selection, with applications in high-dimensional settings like Lasso selection.

Collection of tutorials for working with 'Positron'. Covers scripts, 
    'Quarto' documents, 'Git', 'GitHub', and 'Quarto' websites. Makes extensive use of 
    the tools in the 'tutorial.helpers' package.

Personalize drug regimens using individual pharmacokinetic (PK) and 
    pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic 
    drug monitoring (TDM) data with a population model, 'posologyr' offers 
    accurate posterior estimates and helps compute optimal individualized dosing
    regimens. The empirical Bayes estimates are computed following the method 
    described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.

Computes the exact probability density function of X/Y conditioned on positive quadrant for series of  bivariate distributions,for more details see Nadarajah,Song and Si (2019) <DOI:10.1080/03610926.2019.1576893>.

Calculates, via simulation, power and appropriate stopping
  alpha boundaries (and/or futility bounds) for sequential analyses (i.e.,
  group sequential design) as well as for multiple hypotheses (multiple tests
  included in an analysis), given any specified global error rate. This enables
  the sequential use of practically any significance test, as long as the
  underlying data can be simulated in advance to a reasonable approximation.
  Lukács (2022) <doi:10.21105/joss.04643>.

Conduct power analyses and inference of marginal effects. 
    Uses plug-in estimation and influence functions to perform robust inference,
    optionally leveraging historical data to increase precision with
    prognostic covariate adjustment. The methods are described in
    Højbjerre-Frandsen et al. (2025) <doi:10.48550/arXiv.2503.22284>.