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

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>.

User-friendly functions for leveraging (multiple) historical data set(s) for generalized
    linear models. The package contains functions for sampling from the posterior distribution of a
    generalized linear model using the prior induced by the Bayesian hierarchical model, power prior 
    by Ibrahim and Chen (2000) <doi:10.1214/ss/1009212673>, normalized power prior by Duan et al. (2006) 
    <doi:10.1002/env.752>, normalized asymptotic power prior by Ibrahim et al. (2015) <doi:10.1002/sim.6728>, 
    commensurate prior by Hobbs et al. (2011) <doi:10.1111/j.1541-0420.2011.01564.x>, robust meta-analytic-predictive 
    prior by Schmidli et al. (2014) <doi:10.1111/biom.12242>, the latent exchangeability prior by Alt et al. (2023) 
    <doi:10.48550/arXiv.2303.05223>, and a normal (or half-normal) prior. Functions for computing the marginal 
    log-likelihood under each of the implemented priors are also included. The package compiles all 
    the 'CmdStan' models once during installation using the 'instantiate' package.