pqlBpoisson2: The weighted Gauss-Newton estimators of the PQL in...

In pql: A Partitioned Quasi-Likelihood for Distributed Statistical Inference

The weighted Gauss-Newton estimators of the PQL in Poisson-GLMS

Description

The average weighted estimator and the unknown weighted estimator of the PQL in Poisson-GLMS through damped Gauss-Newton

Usage

pqlBpoisson2(data,G,nk)

Arguments

data	is a design matrix with uniform distribution and the response vector
G	is the number of subsets.
nk	is the size of subsets.

Value

betaBA, betaBW, MSEA, MSEW

Examples

p<- 5;G<- 20;n<- 1000;nk=50
X<- matrix(runif(n * p, 0, 0.5), ncol = p)
beta =matrix(runif(p, 0, 1),nrow=p)
L=X%*%beta
y<- rpois(n, exp(L))
data=cbind(y,X)
pqlBpoisson2(data,G,nk)

pql documentation built on May 29, 2024, 4:58 a.m.