Rand: random effect function

In Paneldata: Linear models for panel data

Description

random effect function

Usage

Rand(y, x, n, t)

Arguments

y	vector of dependent variable
x	matrix of independents variables
n	number of sections
t	times per section

Value

Coefficients: a named vector of coefficients

vcov: covariance matrix of coefficients

std: a named vector of standard errors

stats: a named vector of students statistics

Author(s)

Zaghdoudi Taha

Examples

pib<-as.matrix(c(12,3,4,0.4,0.7,5,0.7,0.3,0.6,89,7,8,45,7,4,5,0.5,5),nrows=18,ncols=1)
tir<-as.matrix(c(12,0.3,4,0.4,7,12,3.0,6.0,45,7.0,0.8,44,65,23,4,6,76,9),nrows=18,ncols=1)
inf<-as.matrix(c(1.2,3.6,44,1.4,0.78,54,0.34,0.66,12,0.7,8.0,12,65,43,5,76,65,8),nrows=18,ncols=1)
npl<-as.matrix(c(0.2,3.8,14,2.4,1.7,43,0.2,0.5,23,7.8,88,36,65,3,44,65,7,34),nrows=18,ncols=1)
mdata<-data.frame(p=pib,t=tir,int=inf,np=npl)
# create the designed matrix for the model
d<-matrix(c(mdata$p,mdata$int,mdata$np),18, 3)
# Fit a random model
rx<-Rand(mdata$p,d,n=6,t=3)
rx

Paneldata documentation built on May 2, 2019, 3:47 p.m.