PAGFL 1.1.1 (development version)

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

PAGFL 1.1.0

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