Release 4.12
Highlights of this release include:
- Dropping singleton observations in PanelOLS models
- Support for LSMR as an option to estimate parameters. LSMR can be much faster in very sparse unbalanced panels.
- Added wald_test to panel model results class.
- Added a low-memory option to limit memory usage when estimating models with 2 effects.