Changes in version 1.0.2 (2025-03-05)                  

  - This function previously did not accommodate tibbles for the data
    argument of wqs_full_perm, but now data can be a data.frame object
    or a tibble.

  - Added a utils.R script with a function get_legend2() to replace the
    malfunctioning cowplot::get_legend() call in the function
    wqspt_plot. In cowplot v1.1.3, get_legend() returns an error if the
    legend position is anywhere besides on the right of the plot. Since
    wqspt_plot extracts a legend positioned on the bottom of a plot to
    be included in the plot output if InclKey = TRUE, this was
    previously throwing an error.

  - Added a gwqs_hpc function to utils.R along with its necessary hidden
    functions imported from the gWQS package to add an option to specify
    a number of workers for parallel processes for wqs_pt and
    wqs_full_perm. The gwqs function in the gWQS package (v3.0.5) uses
    as many parallel processes as there are cores detected, which can be
    problematic with high-performance computing (HPC) environments. HPC
    schedulers allocate a specific number of cores, and if gwqs tries to
    use more than that number, it will terminate the HPC job. Therefore,
    gwqs_hpc was created to allow for the number of parallel processes
    to be specified, thereby avoiding this problem.

  - Added ... arguments to wqs_pt and wqs_full_perm that ensure that the
    additional arguments passed to gwqs_hpc are passed to every
    iteration of that function, whereas previously those additional
    arguments only passed to the main WQS regression in wqs_full_perm.

  - Added the arguments LegendWidthIn and LegendHeightIn to wqspt_plot
    to control the bottom legend width and height, respectively.

  - Added some examples to the documentation for wqspt_plot to better
    illustrate its use.

  - Replaced all b1_constr arguments with b_constr to match the change
    in the name of this argument in the latest version of the gWQS
    package (v3.0.5).

  - Replaced URL links to referenced papers with doi.org links.

  - Added additional examples of papers using the WQSPT method.