Derives the most frequent hierarchies along with their probability of occurrence. One can also define complex hierarchy criteria and calculate their probability. Methodology based on Papakonstantinou et al. (2021) <DOI:10.21203/rs.3.rs-858140/v1>.

Ships statistical and mathematical routines from R internal
    'nmath' ('Mathlib') as 'OpenCL' C sources under directory 'inst/cl/', with R
    wrappers that use the GPU when 'OpenCL' is available at compile time and
    fall back to 'stats' equivalents otherwise. Aimed at package developers
    building custom kernels (for example Bayesian GLMs via suggested package
    'glmbayes') using 'opencltools' kernel loaders and related helpers. Contains
    translated shims, an illustrative GLM-related kernel subsystem, vignettes,
    and optional GPU acceleration. The ported routines are translated from the
    'nmath' ('Mathlib') and 'Rmath' sources of R Core Team (2026) "R: A
    Language and Environment for Statistical Computing"
    <doi:10.32614/R.manuals>. 'OpenCL' GPU execution follows the standard
    described in Stone, Gohara, and Shi (2010) <doi:10.1109/MCSE.2010.69>. The
    likelihood subgradient simulation methodology implemented by the
    illustrative GLM kernel subsystem is described in Nygren and Nygren (2006)
    <doi:10.1198/016214506000000357>.

Calculation and presentation of decision-invariant bias adjustment
    thresholds and intervals for Network Meta-Analysis, as described by 
    Phillippo et al. (2018) <doi:10.1111/rssa.12341>. These describe the 
    smallest changes to the data that would result in a change of decision.

Essentials for PK/PD (pharmacokinetics/pharmacodynamics) such as area under the curve, (geometric) coefficient of variation, and other calculations that are not part of base R. This is not a noncompartmental analysis (NCA) package.

Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem, including consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.