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PAGFL 1.1.2 (development
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 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
PAGFL 1.1.1
- 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
PAGFL 1.0.1
- Patch to fix freak bug in the M1Mac build
PAGFL 1.0.0
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.