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).

Construct a Hidden Markov Model with states learnt by unsupervised classification.

Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters when outcome is missing not at random (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>; and (ii) double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding introduced in Genbaeck, M., de Luna, X. (2018) <doi:10.1111/biom.13001>.

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.

A suite of utilities for working with the UK Biobank 
    <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) 
    metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. 
    Includes functions for extracting biomarkers from decoded UK Biobank field 
    data, removing unwanted technical variation from biomarker concentrations,
    computing an extended set of lipid, fatty acid, and cholesterol fractions, 
    and for re-deriving composite biomarkers and ratios after adjusting data 
    for unwanted biological variation. For further details on methods see
    Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.