Contains functions carrying out adaptive procedures using mixed scaling approach to establish bioequivalence for in-vitro permeation test (IVPT) data. Currently, the package provides procedures based on parallel replicate design and balanced data, according to the U.S. Food and Drug Administration's "Draft Guidance on Acyclovir" <https://www.accessdata.fda.gov/drugsatfda_docs/psg/Acyclovir_topical%20cream_RLD%2021478_RV12-16.pdf>. Potvin et al. (2008) <doi:10.1002/pst.294> provides the basis for our adaptive design (see Method B). For a comprehensive overview of the method, refer to Lim et al. (2023) <doi:10.1002/pst.2333>. This package reflects the views of the authors and should not be construed to represent the views or policies of the U.S. Food and Drug Administration.

Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.

Implementation of adaptive p-value thresholding (AdaPT), including both a framework that allows the user to specify any 
  algorithm to learn local false discovery rate and a pool of convenient functions that implement specific 
  algorithms. See Lei, Lihua and Fithian, William (2016) <arXiv:1609.06035>.

Package that simulates adaptive (multi-arm, multi-stage) clinical
    trials using adaptive stopping, adaptive arm dropping, and/or adaptive
    randomisation. Developed as part of the INCEPT (Intensive Care Platform
    Trial) project (<https://incept.dk/>), primarily supported by a grant
    from Sygeforsikringen "danmark" (<https://www.sygeforsikring.dk/>).

Tools to construct (or add to) cell-type signature matrices using flow sorted or single cell samples and deconvolve bulk gene expression data.
    Useful for assessing the quality of single cell RNAseq experiments, estimating the accuracy of signature matrices, and determining cell-type spillover. 
    Please cite: Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells <doi:10.1371/journal.pone.0224693>.