getMaxParam(xyz, level = 0.95, mu, doRob = FALSE)
## S3 method for class 'data.frame':
getMaxParam(xyz, level = 0.95, mu, doRob = FALSE)
## S3 method for class 'default':
getMaxParam(xyz, level = 0.95, mu, doRob = FALSE)
X
, Y
, Z
or Point.X
, Point.Y
, Poin
sigma
, sigCIlo
, sigCIup
.MR
, MRciLo
, MRciUp
.RSD
, RSDciLo
, RSDciUp
.mu
of the distribution is given, the sigma estimate uses the sum of squared radii for the variance estimate (the total un-corrected variance of the coordinates), and employs the c4(3*N+1) correction factor and for taking the square root. When mu
is missing, the sum of squared radii is Bessel-corrected for estimating the center, and c4(3*N-2) is used.
MR and RSD each are a constant fraction of sigma.
The robust estimate for the covariance matrix of (x,y,z)-coordinates is from covMcd
using the MCD algorithm.Maxwell
,
getCEP
,
getHitProb
,
covMcd
# coordinates given by a matrix
xyz <- matrix(round(rnorm(60, 0, 5), 2), ncol=3)
getMaxParam(xyz, doRob=FALSE)
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