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math/py-linearmodels: New port: Linear Panel, Instrumental Variable, Asset Pricing and other models
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@@ -932,6 +932,7 @@
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SUBDIR += py-kiwisolver
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SUBDIR += py-levmar
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SUBDIR += py-libpoly
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SUBDIR += py-linearmodels
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SUBDIR += py-lmfit
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SUBDIR += py-luminol
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SUBDIR += py-mathics
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@@ -0,0 +1,32 @@
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PORTNAME= linearmodels
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PORTVERSION= 4.27
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CATEGORIES= math python # statistics
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Linear Panel, Instrumental Variable, Asset Pricing and other models
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WWW= https://bashtage.github.io/linearmodels/
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LICENSE= BSD3CLAUSE
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LICENSE_FILE= ${WRKSRC}/LICENSE.md
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PY_DEPENDS= ${PYTHON_PKGNAMEPREFIX}formulaic>=0.3.2:math/py-formulaic@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}mypy_extensions>=0.4:devel/py-mypy_extensions@${PY_FLAVOR} \
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${PYNUMPY} \
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${PYTHON_PKGNAMEPREFIX}pandas>=0.24:math/py-pandas@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}property-cached>=1.6.3:devel/py-property-cached@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pyhdfe>=0.1:math/py-pyhdfe@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}scipy>=1.2:science/py-scipy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}statsmodels>=0.11:math/py-statsmodels@${PY_FLAVOR}
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools_scm>=6.4.2,<7.0.0:devel/py-setuptools_scm@${PY_FLAVOR} \
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${PY_DEPENDS}
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RUN_DEPENDS= ${PY_DEPENDS}
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USES= python:3.7+ shebangfix
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USE_PYTHON= autoplist cython distutils
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post-install:
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@${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/linearmodels/panel/_utility${PYTHON_EXT_SUFFIX}.so
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.include <bsd.port.mk>
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@@ -0,0 +1,3 @@
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TIMESTAMP = 1672264555
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SHA256 (linearmodels-4.27.tar.gz) = 1e2ddd4ee82f46b003633136c1170206a90406a45ef1217d3fade30bb1407ccd
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SIZE (linearmodels-4.27.tar.gz) = 1778740
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@@ -0,0 +1,24 @@
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Linear (regression) models for Python. Extends statsmodels with Panel
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regression, instrumental variable estimators, system estimators and
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models for estimating asset prices:
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* Panel models:
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- Fixed effects (maximum two-way)
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- First difference regression
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- Between estimator for panel data
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- Pooled regression for panel data
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- Fama-MacBeth estimation of panel models
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* High-dimensional Regresssion:
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- Absorbing Least Squares
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* Instrumental Variable estimators
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- Two-stage Least Squares
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- Limited Information Maximum Likelihood
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- k-class Estimators
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- Generalized Method of Moments, also with continuously updating
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* Factor Asset Pricing Models:
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- 2- and 3-step estimation
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- Time-series estimation
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- GMM estimation
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* System Regression:
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- Seemingly Unrelated Regression (SUR/SURE)
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- Three-Stage Least Squares (3SLS)
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- Generalized Method of Moments (GMM) System Estimation
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