Changes in version 1.2.0                        

  - Multi-core lambda-grid search: when parallel = TRUE and lambda
    contains more than two values, pagfl() and fuse_time() now dispatch
    the search over the penalty grid in parallel.
  - Bugfix such that the ADMM dual variable v is now reset between
    successive lambda values inside the routine. Numerical results from
    pagfl() and fuse_time() may therefore differ marginally from
    previous versions when lambda is supplied as a grid.
  - Added RhpcBLASctl to Imports to avoid nested parallel
    oversubscription.
  - Bugfix in backend sparse matrix handling
  - Speed optimizations
  - Fixed docu typos

                 Changes in version 1.1.4 (2025-11-17)                  

  - Added references to new arXiv submission
  - Renamed tv_pagfl to fuse_time
  - Updated documentation
  - Slight cosmetic changes to figures
  - Added icon
  - Observations with NAs of irrelevant variables are no longer removed
  - Extended unit tests
  - Added R >= 3.5.0 dependency

                 Changes in version 1.1.3 (2025-02-20)                  

  - Added a progress bar displaying the percentage of convergence to
    pagfl and tv_pagfl if verbose is selected
  - Slight changes in the formatting of the print method for summary of
    pagfl and grouped_plm objects
  - Fix of missing regressor name in the output of pagfl and grouped_plm
    when having a single regressor and passing an empty formula
  - Deprecation of DGP argument in sim_tv_DGP
  - Bugfix when passing a prescribed coefficient matrix and selecting
    dynamic = TRUE in sim_DGP
  - Bugfix to preclude explosive processes when selecting dynamic = TRUE
    in sim_tv_DGP
  - Added seeds to all function examples
  - Support for RcppArmadillo 14.4.0

                 Changes in version 1.1.2 (2024-11-09)                  

  - Fixed backwards compatibility issue with the generic functions
    fitted and resid
  - Bugfix when passing index variables and an empty formula y ~ . for
    tv_pagfl and grouped_tv_plm
  - Improved documentation
  - Changed x-axis label in the plot produced by calling summary() of a
    tvpagfl object
  - Bugfix in the plot produced by calling fitted() and passing a
    character time-index variable
  - Added the current algorithm iteration and tuning parameter as a
    progress counter to the console for pagfl and tv_pagfl if option
    verbose is selected
  - Changed the IC selecting the best-fitting tuning parameter for the
    tv_pagfl and grouped_tv_plm procedures to include the logarithmic
    mean squared error as the fitness term

                 Changes in version 1.1.1 (2024-07-23)                  

  - Introduction of grouped_plm and grouped_tv_plm to estimate grouped
    (time-varying) panel data models given an exogenous group structure
  - Remove warm-starts when iterating across different tuning parameters
  - Small efficiency upgrades
  - More extensive unit testing
  - Improved documentation
  - Small updates to generic methods

                 Changes in version 1.1.0 (2024-06-08)                  

  - Introduction of the time-varying PAGFL tv_pagfl
  - Introduction of s3 methods (summary(), coef(), fitted(), resid())
    for the output of pagfl and tv_pagfl
  - Change of the user interface to formula objects
  - Implementation of unit testing
  - Renamed functions to be consistently snake case
  - Support for unordered and/or unbalanced panel data sets via index
  - Possibility to estimate a mix of time-constant and time-varying
    coefficients in the same panel data model (const_coef)
  - Added row and column names to the estimation output
  - Maximum within-group heterogeneity group_tol set to a machine
    inaccuracy value
  - Improved documentation, checks, and error/warning messages
  - Enabled 64bit C++ compiler to support large datasets
  - Improvements to efficiency and numerical stability
  - Bugfixes

                 Changes in version 1.0.1 (2024-02-17)                  

  - Patch to fix freak bug in the M1Mac build

                 Changes in version 1.0.0 (2024-02-16)                  

  - Initial CRAN submission.