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Showing results 1 to 10 of 3,631.


Function VIF [DescTools v0.99.19]
keywords
regression
title
Variance Inflation Factors
description
Calculates variance-inflation and generalized variance-inflation factors for linear and generalized linear models.
Function plotLMER.fnc [LMERConvenienceFunctions v2.10]
keywords
regression
title
plot a mer object
description
Plot partial effects of a (generalized) linear mixed-effects model fit with lmer (compatible with package lme4 version > 1.0).
Function ercomp [plm v1.6-5]
keywords
regression
title
Estimation of the error components
description
This function enables the estimation of the variance components of a panel model.
Function fixef.plm [plm v1.6-5]
keywords
regression
title
Extract the Fixed Effects
description
Function to extract the fixed effects from a plm object and associated summary method.
Function pht [plm v1.6-5]
keywords
regression
title
Hausman--Taylor Estimator for Panel Data
description
The Hausman--Taylor estimator is an instrumental variable estimator without external instruments.
Function pcce [plm v1.6-5]
keywords
regression
title
Common Correlated Effects estimators
description
Common Correlated Effects Mean Groups (CCEMG) and Pooled (CCEP) estimators for panel data with common factors (balanced or unbalanced)
Function pggls [plm v1.6-5]
keywords
regression
title
General FGLS Estimators
description
General FGLS estimators for panel data (balanced or unbalanced)
Function pgmm [plm v1.6-5]
keywords
regression
title
Generalized Method of Moments (GMM) Estimation for Panel Data
description
Generalized method of moments estimation for static or dynamic models with panel data.
Function plm [plm v1.6-5]
keywords
regression
title
Panel Data Estimators
description
Linear models for panel data estimated using the lm function on transformed data.
Function pmg [plm v1.6-5]
keywords
regression
title
Mean Groups (MG), Demeaned MG and CCE MG estimators
description
Mean Groups (MG), Demeaned MG (DMG) and Common Correlated Effects MG (CCEMG) estimators for heterogeneous panel models, possibly with common factors (CCEMG)