Provides functions for designing phase II clinical trials adjusting for the heterogeneity of the population using known subgroups or historical controls.

A comprehensive R package for accessing and working with publicly 
    available and free resources from the Agency for Healthcare Research and Quality 
    (AHRQ) Healthcare Cost and Utilization Project (HCUP). The package provides 
    streamlined access to HCUP's Clinical Classifications Software Refined (CCSR) 
    mapping files and Summary Trend Tables, enabling researchers and analysts to 
    efficiently map ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes to 
    CCSR categories and access HCUP statistical reports. Key features include: 
    direct download from HCUP website, multiple output formats (long/wide/default), 
    cross-classification support, version management, citation generation, and 
    intelligent caching. The package does not redistribute HCUP data files but 
    facilitates direct download from the official HCUP website, ensuring users 
    always have access to the latest versions and maintain compliance with HCUP 
    data use policies. This package only accesses free public tools and reports; 
    it does NOT access HCUP databases (NIS, KID, SID, NEDS, etc.) that require 
    purchase. For more information, see <https://hcup-us.ahrq.gov/>.

Functions to perform dimensionality reduction for classification if the covariance matrices of the classes are unequal.

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) 
   "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". 
   This implements and imports a  collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting 
   functions, multiple real data sets and four vignettes covering a range different applications.

Provides seamless access to the WEkEO Harmonised Data Access (HDA) API, enabling 
  users to query, download, and process data efficiently from the HDA platform. 
  With 'hdar', researchers and data scientists can integrate the extensive HDA 
  datasets into their R workflows, enhancing their data analysis capabilities. 
  Comprehensive information on the API functionality and usage is available 
  at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.