Description Usage Arguments Value References Examples
View source: R/CovEst.2010OAS.R
Authors propose to estimate covariance matrix by iteratively approximating the shrinkage with
\hat{Σ} = ρ \hat{F} + (1-ρ) \hat{S}
where ρ \in (0,1) a control parameter/weight, \hat{S} an empirical covariance matrix, and \hat{F} a target matrix. It is proposed to use a structured estimate \hat{F} = \textrm{Tr} (\hat{S}/p) \cdot I_{p\times p} where I_{p\times p} is an identity matrix of dimension p.
1 |
X |
an (n\times p) matrix where each row is an observation. |
a named list containing:
a (p\times p) covariance matrix estimate.
an estimate for convex combination weight.
chen_shrinkage_2010CovTools
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | ## CRAN-purpose small computation
# set a seed for reproducibility
set.seed(11)
# small data with identity covariance
pdim <- 5
dat.small <- matrix(rnorm(10*pdim), ncol=pdim)
# run the code
out.small <- CovEst.2010OAS(dat.small)
# visualize
opar <- par(no.readonly=TRUE)
par(mfrow=c(1,3), pty="s")
image(diag(pdim)[,pdim:1], main="true cov")
image(cov(dat.small)[,pdim:1], main="sample cov")
image(out.small$S[,pdim:1], main="estimated cov")
par(opar)
## Not run:
## want to see how delta is determined according to
# the number of observations we have.
nsamples = seq(from=5, to=200, by=5)
nnsample = length(nsamples)
# we will record two values; rho and norm difference
vec.rho = rep(0, nnsample)
vec.normd = rep(0, nnsample)
for (i in 1:nnsample){
dat.norun <- matrix(rnorm(nsamples[i]*pdim), ncol=pdim) # sample in R^5
out.norun <- CovEst.2010OAS(dat.norun) # run with default
vec.rho[i] = out.norun$rho
vec.normd[i] = norm(out.norun$S - diag(pdim),"f") # Frobenius norm
}
# let's visualize the results
opar <- par(no.readonly=TRUE)
par(mfrow=c(1,2))
plot(nsamples, vec.rho, lwd=2, type="b", col="red", main="estimated rhos")
plot(nsamples, vec.normd, lwd=2, type="b", col="blue",main="Frobenius error")
par(opar)
## End(Not run)
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