Package ‘plm’ R ~ plmpackage plm package linear models for panel data Description plm is a package for R which intends to make the estimation of linear panel models straightforward plm provides functions to estimate a wide variety of models and to make robust inference

plm function R Documentation ~ The summary method creates an object of class that extends the object it is run on with information about inter alia F statistic and adjusted Rsquared of model standard errors tvalues and pvalues of coefficients if supplied the furnished vcov see for further details

CRAN Package plm ~ plm Linear Models for Panel Data A set of estimators and tests for panel data econometrics as described in Baltagi 2013 Econometric Analysis of Panel Data ISBN139781118672327 Hsiao 2014 Analysis

Introduction to plm ~ Introduction to plm Yves Croissant Giovanni Millo May 14 2007 1 Introduction The aim of package plm is to provide an easy way to estimate panel models Some panel models may be estimated with package nlme non–linear mixed effect models but not in an intuitive way for an econometrician plm provides

plm package R Documentation ~ Extract Total Number of Observations Used in Estimated Panelmodel pbltest Baltagi and Li Serial Dependence Test For Random Effects Models punbalancedness Measures for Unbalancedness of Panel Data R squared and adjusted R squared for panel models vcovBK Beck and Katz Robust Covariance Matrix Estimators piest

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Introduction to R ‘plm’ package 1 – Research Data ~ Introduction to R ‘plm’ package 1 Posted on November 2 2018 November 8 2018 by Wei Yin This blog is an introduction to use ‘plm’ package for panel data analysis

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