Searched refs:GLM (Results 426 – 450 of 748) sorted by relevance
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/base/tests/ |
| H A D | test_screening.py | 14 from statsmodels.genmod.generalized_linear_model import GLM
28 class GLMPenalized(PenalizedMixin, GLM):
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| /dports/finance/R-cran-strucchange/strucchange/man/ |
| H A D | BostonHomicide.Rd | 65 ## as GLM
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| /dports/math/R/R-4.1.2/src/library/stats/man/ |
| H A D | glm.control.Rd | 8 \title{Auxiliary for Controlling GLM Fitting}
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| /dports/math/libRmath/R-4.1.1/src/library/stats/man/ |
| H A D | glm.control.Rd | 8 \title{Auxiliary for Controlling GLM Fitting}
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| /dports/math/py-statsmodels/statsmodels-0.13.1/examples/notebooks/ |
| H A D | glm_formula.ipynb | 62 "Then, we fit the GLM model:"
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| /dports/net-mgmt/netdisco-mibs/netdisco-mibs-4.010/cisco/ |
| H A D | CISCO-ST-TC.my | 277 (GLM). A GLM has a different
278 form factor than GBIC. GLM is
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| /dports/net-mgmt/observium/observium/mibs/cisco/ |
| H A D | CISCO-ST-TC | 277 (GLM). A GLM has a different
278 form factor than GBIC. GLM is
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| /dports/math/py-statsmodels/statsmodels-0.13.1/ |
| H A D | PKG-INFO | 76 * GLM: Generalized linear models with support for all of the one-parameter
78 * Bayesian Mixed GLM for Binomial and Poisson
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels.egg-info/ |
| H A D | PKG-INFO | 76 * GLM: Generalized linear models with support for all of the one-parameter
78 * Bayesian Mixed GLM for Binomial and Poisson
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| /dports/editors/libreoffice/libreoffice-7.2.6.2/external/ |
| H A D | Module_external.mk | 45 $(call gb_Helper_optional,GLM,glm) \
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| /dports/science/py-nilearn/nilearn-0.8.1/doc/ |
| H A D | index.rst | 12 …It supports general linear model (GLM) based analysis and leverages the `scikit-learn <http://scik…
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| /dports/math/R-cran-robustbase/robustbase/man/ |
| H A D | residuals.glmrob.Rd | 46 See those for the classical GLM's, \code{\link{glm}}.
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| /dports/math/py-statsmodels/statsmodels-0.13.1/docs/source/release/ |
| H A D | version0.10.rst | 106 Influence functions are available for GLM and generic MLE models:
149 - Add influence function support for GLM (:pr:`4732`, :issue:`4268`, :issue:`4257`)
153 - Use GLM to get starting values for GEE (:pr:`5440`)
157 - Added ridge regression by gradient for all GLM (:pr:`5521`)
429 * :pr:`4692`: DOC: Add GLM varfuncs and weights notebook to documentation
456 * :pr:`4788`: BUG: bayes mixed GLM maintenance
664 * :pr:`5277`: DOC: Clarify/fix docs on GLM scale estimation for negative binomial
692 * :pr:`5440`: ENH: Use GLM to get starting values for GEE
708 * :pr:`5521`: ENH: Tweedie log-likelihood (+ridge regression by gradient for all GLM)
829 * :pr:`5726`: DOC: Remove redundant attributes in GLM
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| /dports/math/R-cran-VGAM/VGAM/R/ |
| H A D | residuals.vlm.q | 195 "'GLM' or 'VGAMcategorical' families; ",
237 } # "GLM" or "VGAMcategorical"
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/regression/tests/ |
| H A D | test_recursive_ls.py | 16 from statsmodels.genmod.api import GLM
146 mod_glm = GLM(endog, exog)
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| /dports/editors/libreoffice6/libreoffice-6.4.7.2/external/ |
| H A D | Module_external.mk | 44 $(call gb_Helper_optional,GLM,glm) \
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| /dports/math/pspp/pspp-1.4.1/tests/language/dictionary/ |
| H A D | split-file.at | 109 GLM c BY b.
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| /dports/games/solarus-quest-editor/solarus-quest-editor-e541e1312c242bff10aa1fb84a7eb8b6cb8504ba/ |
| H A D | readme.md | 37 - GLM
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| /dports/games/dustrac/DustRacing2D-ae380b8/src/game/MiniCore/src/Graphics/contrib/glm/ogl-math/glm/gtx/ |
| H A D | vector_query.inl | 10 // - GLM core
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/trilinos/cmake/TPLs/ |
| H A D | FindTPLGLM.cmake | 57 TRIBITS_TPL_FIND_INCLUDE_DIRS_AND_LIBRARIES( GLM
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| /dports/science/py-nilearn/nilearn-0.8.1/ |
| H A D | README.rst | 28 It supports general linear model (GLM) based analysis and leverages the `scikit-learn <http://sciki…
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| /dports/math/R-cran-VGAM/VGAM/man/ |
| H A D | inv.gaussianff.Rd | 86 using the usual GLM framework involving a scale parameter. This family
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| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/bufr/tables/0/wmo/28/codetables/ |
| H A D | 2019.table | 214 617 617 GLM
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| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/bufr/tables/0/wmo/30/codetables/ |
| H A D | 2019.table | 220 618 618 GLM
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| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/bufr/tables/0/wmo/29/codetables/ |
| H A D | 2019.table | 215 618 618 GLM
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