cencov {deform} | R Documentation |
Correlation and covariance matrices from censored data
Description
Correlation and covariance matrices from censored data
Usage
cencov(x, u)
cencor(x, u)
Arguments
x |
a numeric matrix |
u |
a numeric matrix giving corresponding points of left-censoring |
Details
For cencov()
a covariance matrix is returned and for
cencor()
a correlation matrix is returned. Note that cencov()
calls cencor()
. Estimates are based on assuming values are from a
multivariate Gaussian distribution.
Value
a matrix
See Also
cov and cor for uncensored estimates.
Examples
# generate some correlated data
n <- 1e2
x <- rnorm(n)
y <- 0.25 * x + sqrt(0.75) * rnorm(n)
xy <- cbind(x, y)
# threshold of zero for left-censoring
u <- matrix(0, n, 2)
# left-censored correlation matrix
cencor(xy, u) # could check with cor(xy)
# left-censored covariance matrix
cencov(xy, u)
[Package deform version 1.0.0 Index]