Provides utility functions that extend the capabilities of the 
    reference-based multiple imputation package 'rbmi'. It supports clinical 
    trial analysis workflows with functions for managing imputed datasets, 
    applying analysis methods across imputations, and tidying results for 
    reporting.

Creation, manipulation, simulation of linear Gaussian Bayesian
             networks from text files and more...

Provides a convenient way of accessing data published by the Reserve Bank of New Zealand (RBNZ) on their website, <https://www.rbnz.govt.nz/statistics>. A range of financial and economic data is provided in spreadsheet format including exchange and interest rates, commercial lending statistics, Reserve Bank market operations, financial institution statistics, household financial data, New Zealand debt security information, and economic indicators. This package provides a method to download those spreadsheets and read them directly into R.

Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.

Takes matched and unmatched data and calculates Rosenbaum bounds for the treatment effect.  Calculates bounds for binary outcome data, Hodges-Lehmann point estimates, Wilcoxon signed-rank test for matched data and matched IV estimators, Wilcoxon sum rank test, and for data with multiple matched controls. The sensitivity analysis methods in this package are documented in Rosenbaum (2002) Observational Studies, <doi:10.1007/978-1-4757-3692-2>, Springer-Verlag.

The RBP curve is a visual tool to assess the
    performance of prediction models.

A tool for building projects that are visually consistent,
    accessible, and easy to maintain. It provides functions for managing
    branding assets, applying organization-wide themes using 'brand.yml',
    and setting up new projects with accessibility features and correct
    branding. It supports 'quarto', 'shiny', and 'rmarkdown' projects, and
    integrates with 'ggplot2'. The accessibility features are based
    on the Web Content Accessibility Guidelines
    <https://www.w3.org/WAI/WCAG22/quickref/?versions=2.1>
    and Accessible Rich Internet Applications (ARIA) specifications
    <https://www.w3.org/WAI/ARIA/apg/>. The branding framework implements
    the 'brand.yml' specification <https://posit-dev.github.io/brand-yml/>.