iterate.optimal.ar1: computing iterated optimal weights
In vahidnassiri/fastAR1: Estimating AR1 covariance structure.
Description
Usage
Arguments
Value
Author(s)
Description
computing iterated optimal weights
Usage
1
iterate.optimal.ar1(ck, nk, mu.split, var.comp.split, tol)
Arguments
ck
number of cluster with each unique cluster size
nk
unique cluster sizes
mu.split
estimated μ from different splits
var.comp.split
estimated variance components (rho and sigma^2)
from different splits
tol
the tolerance
Value
a list with computed materials
Author(s)
Vahid Nassiri
vahidnassiri/fastAR1 documentation built on June 23, 2019, 12:06 a.m.
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Description Usage Arguments Value Author(s)
Description
computing iterated optimal weights
Usage
1 | iterate.optimal.ar1(ck, nk, mu.split, var.comp.split, tol)
|
Arguments
ck |
number of cluster with each unique cluster size |
nk |
unique cluster sizes |
mu.split |
estimated μ from different splits |
var.comp.split |
estimated variance components (rho and sigma^2) from different splits |
tol |
the tolerance |
Value
a list with computed materials
Author(s)
Vahid Nassiri
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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