Frequentist statistical inference for cluster randomised trials with
  multiple outcomes that controls the family-wise error rate and provides nominal
  coverage of confidence sets. A full description of the methods can be found in Watson et al. (2023) <doi:10.1002/sim.9831>.

Provides a new method for interpretable heterogeneous 
    treatment effects characterization in terms of decision rules 
    via an extensive exploration of heterogeneity patterns by an 
    ensemble-of-trees approach, enforcing high stability in the 
    discovery. It relies on a two-stage pseudo-outcome regression, and 
    it is supported by theoretical convergence guarantees. Bargagli-Stoffi, 
    F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble: 
    Interpretable Discovery and Inference of Heterogeneous Treatment Effects.  
    arXiv preprint <doi:10.48550/arXiv.2009.09036>.

Provides a new method for identification of clusters of genomic
 regions within chromosomes. Primarily, it is used for calling clusters of 
 cis-regulatory elements (COREs). 'CREAM' uses genome-wide maps of genomic regions
 in the tissue or cell type of interest, such as those generated from chromatin-based 
 assays including DNaseI, ATAC or ChIP-Seq. 'CREAM' considers proximity of the elements 
 within chromosomes of a given sample to identify COREs in the following steps:
 1) It identifies window size or the maximum allowed distance between the elements 
 within each CORE, 2) It identifies number of elements which should be clustered 
 as a CORE, 3) It calls COREs, 4) It filters the COREs with lowest order which 
 does not pass the threshold considered in the approach.

Create Pairwise Comparison Matrices for use in the Analytic Hierarchy Process. The Pairwise Comparison Matrix created will be a logical matrix, which unlike a random comparison matrix, is similar to what a rational decision maker would create on the basis of a preference vector for the alternatives considered.

Setup and retrieve HTTPS and SSH credentials for use with 'git' and 
    other services. For HTTPS remotes the package interfaces the 'git-credential' 
    utility which 'git' uses to store HTTP usernames and passwords. For SSH 
    remotes we provide convenient functions to find or generate appropriate SSH 
    keys. The package both helps the user to setup a local git installation, and
    also provides a back-end for git/ssh client libraries to authenticate with 
    existing user credentials.