PAGFL 1.1.3 (development version)

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

PAGFL 1.1.2 (stable version)

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

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

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