Changes in version 0.3.4.9000                      

This is a list of software changes.

                 Changes in version 0.3.4 (2025-06-29)                  

  - The dependency on the SLOPE package in Suggests has been removed
    (see PR #15) due to some breaking changes in SLOPE.

                 Changes in version 0.3.3 (2023-05-24)                  

  - No API changes
  - Very minor changes based on feedback from CRAN review.

                        Changes in version 0.3.2                        

  - No API changes
  - Only changes are to the automated software tests to accommodate
    minor floating point arithmetic differences on M1mac

                 Changes in version 0.3.1 (2022-05-16)                  

  - Only changes are to the automated software tests.

                 Changes in version 0.3.0 (2020-04-07)                  

  - Removes the dependency on the R package SLOPE, because the only two
    functions from SLOPE that are used in grpSLOPE are being deprecated
    and removed from SLOPE package versions newer than 0.1.3.
  - Since the dependency on the R package SLOPE has been removed (see
    above), the two functions SLOPE::SLOPE_solver and
    SLOPE::prox_sorted_L1 (including the underlying C implementation)
    have been adapted from SLOPE version 0.1.3 into this version of the
    grpSLOPE package.
  - In addition to the default FISTA solver (function
    proximalGradientSolverGroupSLOPE used by default within function
    grpSLOPE), an ADMM solver has been implemented for the Group SLOPE
    model (function admmSolverGroupSLOPE ).

                 Changes in version 0.2.1 (2016-11-20)                  

  - Fix for the installation error on r-oldrel-windows-ix86+x86_64 (R
    v3.2.5) in the CRAN package check results. This error was caused by
    the generic S3 method sigma() not being available from the stats
    package prior to R v3.3.0.

  - Checks for missing data in the inputs X, y and group were added in
    grpSLOPE().

  - A check for whether the input matrix X has columns with 0 variance
    is performed in grpSLOPE() when normalize=TRUE. This should prevent
    division by 0, when the columns of X are standardized to have norms
    equal to 1.