Linearmodels

Latest version: v6.1

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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.

4.11

This is primarily a bug-fix release. Two bugs which incorrectly verified rank conditions on models were fixed. These checks affected:

* All asset pricing models
* Fama-MacBeth panel data regression

In addition, an external dependency on cached-property was introduced.

4.10

This is a bug-fix release that fixes an incorrect implementation of the Parzen weight function.
This release also contains small fixes for future changes in dependencies.

4.9

This is a minor release that focuses on fixes for upstream changes.

* Changed the return type of Wooldridge's over identification test when
invalid to `InvalidTestStatistic`
* Add typing information to IV models
* Allow optimization parameters to be passed to `IVGMMCUE`
* Removed internal use of pandas Panel
* Improved performance in panel models when using `from_formula`
* Switched to retaining index column names when original input index is named
* Modified tests that were not well conceived
* Added spell check to documentation build
* Improve docstring for ``summary`` properties

4.8

This is a minor release with one feature and one bug fix:

* Corrected bug that prevented single character names in IV formulas
* Corrected kappa estimation in LIML when there are no exogenous regressors

4.7

This is a minor release with one significant feature:

* Substantial performance improvements in PanelOLS and possibly other panel models for large dataset sizes

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