scalar.weights.CS: combine results from different sub-samples using scalar...

In vahidnassiri/fastCS: Analyzing correlated data with covariance matrix with compound-symmetry structure

Description

combine results from different sub-samples using scalar weights

Usage

scalar.weights.CS(nk, ck, mu.split.est, sigma2.split.est, d.split.est,
  mu.split.var, sigma2.split.var, d.split.var)

Arguments

nk	a vector containing the cluster sizes
ck	a vector containing the number of clusters of size nk
mu.split.est	a vector containing the \widehat{μ}'s from all sub-samples.
sigma2.split.est	a vector containing the \widehat{σ}^2's from all sub-samples
d.split.est	a vector containing the \widehat{d}'s from all sub-samples
mu.split.var	a vector containing the variance of \widehat{μ}'s from all sub-samples
sigma2.split.var	a vector containing the \mathrm{Var}(\widehat{σ}^2)'s from all sub-samples
d.split.var	a vector containing the \mathrm{Var}(\widehat{d})'s from all sub-samples

Value

a list with computed materials

Author(s)

Vahid Nassiri

vahidnassiri/fastCS documentation built on June 23, 2019, 12:06 a.m.