Methods for fast segmentation of multivariate
    signals into piecewise constant profiles and for generating realistic
    copy-number profiles. A typical application is the joint segmentation of total
    DNA copy numbers and allelic ratios obtained from Single Nucleotide Polymorphism
    (SNP) microarrays in cancer studies. The methods are described in Pierre-Jean, 
    Rigaill and Neuvial (2015) <doi:10.1093/bib/bbu026>.

In the observational study design stage, matching/weighting methods are
    conducted. However, when many background variables are present, the decision as to 
    which variables to prioritize for matching/weighting is not trivial. Thus, the 
    joint treatment-outcome variable importance plots are created to guide variable
    selection. The joint variable importance plots enhance variable comparisons via
    unadjusted bias curves derived under the omitted variable bias framework. The 
    plots translate variable importance into recommended values for tuning parameters 
    in existing methods. Post-matching and/or weighting plots can also be used to 
    visualize and assess the quality of the observational study design. The method 
    motivation and derivation is presented in "Prioritizing Variables for Observational 
    Study Design using the Joint Variable Importance Plot" by Liao et al. (2024) 
    <doi:10.1080/00031305.2024.2303419>. See the package paper by Liao and Pimentel 
    (2024) <doi:10.21105/joss.06093> for a beginner friendly user introduction.

Performs Joins and Minus Queries on 'Excel' Files
    fulljoinXL() Merges all rows of 2 'Excel' files based upon a common column in the files.
    innerjoinXL() Merges all rows from base file and join file when the join condition is met.
    leftjoinXL() Merges all rows from the base file, and all rows from the join file
    if the join condition is met.
    rightjoinXL() Merges all rows from the join file, and all rows from the base file if the join
    condition is met.
    minusXL() Performs 2 operations source-minus-target and target-minus-source
    If the files are identical all output files will be empty.
    Choose two 'Excel' files via a dialog box, and then follow prompts at the console to
    choose a base or source file and columns to merge or minus on.