Computes the density and probability for the conditional truncated multivariate normal (Horrace (2005) p. 4, <doi:10.1016/j.jmva.2004.10.007>). Also draws random samples from this distribution.

Enable the use of 'Shepherd.js' to create tours in 'Shiny' 
    applications.

Runs a function iteratively over each row of either a dataframe 
    or the results of a query.  Use the 'BigQuery' and 'DBI' wrappers to 
    iteratively pass each row of query results to a function.  If a field 
    contains a 'JSON' string, it will be converted to an object.  This is 
    helpful for queries that return 'JSON' strings that represent objects.  
    These fields can then be treated as objects by the pipeline.

Exploring fitted models by interactively taking 2-D and 3-D
  sections in data space.

Constructs a shiny app function with interactive displays for conditional visualization of models, 
     data and density functions. An extended version of package 'condvis'. 
    Catherine B. Hurley, Mark O'Connell,Katarina Domijan (2021) <doi:10.1080/10618600.2021.1983439>.

Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.

This small library contains a series of simple tools for
        constructing and manipulating confounded and fractional
        factorial designs.

Calculate confidence and consistency that measure the
    goodness-of-fit and transferability of predictive/potential distribution
    models (including species distribution models) as described by Somodi &
    Bede-Fazekas et al. (2024) <doi:10.1016/j.ecolmodel.2024.110667>.

Functions for estimating and reporting multi-year averages and
    corresponding confidence intervals and distributions. A potential use case
    is reporting the chemical and ecological status of surface waters according
    to the European Water Framework Directive.