Unit-Gompertz density, cumulative distribution, quantile functions and random deviate
   	generation of the unit-Gompertz distribution. In addition, there are a function for fitting the 
   	Generalized Additive Models for Location, Scale and Shape.

Run a Gibbs sampler for hurdle models to analyze data showing an excess of zeros, which is common in zero-inflated count and semi-continuous models. The package includes the hurdle model under Gaussian, Gamma, inverse Gaussian, Weibull, Exponential, Beta, Poisson, negative binomial, logarithmic, Bell, generalized Poisson, and binomial distributional assumptions. The models described in Ganjali et al. (2024).

Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters under missing not at random (non-ignorable missingness) as introduced in Genbäck, M., Stanghellini, E., and de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbäck, M., Ng, N., Stanghellini, E., and de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>. Also includes methods for doubly robust and outcome regression estimators of average causal effects under unobserved confounding as in Genbäck, M. and de Luna, X. (2018) <doi:10.1111/biom.13001>, and for partial correlation analysis following Gorbach, T. and de Luna, X. (2018) <doi:10.1016/j.spl.2018.05.027>.

Retrieve data from the UNESCO Institute for Statistics (UIS) API
    <https://api.uis.unesco.org/api/public/documentation/>. UIS provides public 
    access to more than 4,000 indicators focusing on education, science and
    technology, culture, and communication.

A set of custom 'R' 'Markdown' templates for documents and
   presentations with the University of Illinois at Urbana-Champaign (UIUC)
   color scheme and identity standards.

Functions for converting between UK and US spellings of English words.

Full listing of UK baby names occurring more than three times per year between 1974 and 2020, and rankings of baby name popularity by decade from 1904 to 1994.

Provides an integrated workflow for UK Biobank Research
    Analysis Platform (RAP) hosted and RAP-generated analysis tables. The
    package supports RAP phenotype extraction planning, predefined variable
    sets and disease definitions, standardized baseline preprocessing,
    multi-source endpoint ascertainment, prevalent and incident case
    classification, survival-ready cohort construction, regression, multiple
    imputation, propensity score analysis, mediation analysis, subgroup and
    sensitivity analyses, machine learning, proteomics enrichment and
    protein-protein interaction analysis, and publication-oriented
    visualization. The package workflow is described in He et al. (2026)
    <doi:10.64898/2026.06.19.26356057>.