Displaying 5 results from an estimated 5 matches for "nearcor".
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arcor
2007 Jul 13
2
nearest correlation to polychoric
Dear all,
Has someone implemented in R (or any other language)
Knol DL, ten Berge JMF. Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 1989, 54, 53-61.
or any other similar algorithm?
Best regards
Jens Oehlschl?gel
Background:
I want to factanal() matrices of polychoric correlations which have negative eigenvalue. I coded
Highham 2002
2012 Apr 26
0
nearest positive semidefinit toeplitz matrix
hHllo,
I'm looking for an algroithm to transform an existing toeplitz matrix
(autocorrelation matrix) to the nearest positive semidefinite toeplitz
matrix.
I merely found an algorithm to transform an correlation matrix via the
function nearcor() based on the algorithm of Higham.
But as I examined, it destroys the toeplitz structure of my underlying
matrix.
Does any function already exist in R, which deals with my problem?
--
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2008 Apr 10
2
QP.solve, QPmat, constraint matrix, and positive definite
hello all,
i'm trying to use QPmat, from the popbio package. it appears to be based
on solve.QP and is intended for making a population projection matrix.
QPmat asks for: nout, A time series of population vectors and C, C
constraint matrix, (with two more vectors, b and nonzero). i believe the
relevant code from QPmat is:
function (nout, C, b, nonzero)
{
if (!"quadprog" %in%
2009 Mar 11
2
non-positive definite matrix remedies?
Hi all,
For computational reasons, I need to estimate an 18x18 polychoric
correlation matrix two variables at a time (rather than trying to
estimate them all simultaneously using ML). The resulting polychoric
correlation matrix I am getting is non-positive definite, which is
problematic because I'm using this matrix later on as if it were a
legitimately estimated correlation matrix (in order
2008 Jun 26
2
constructing arbitrary (positive definite) covariance matrix
Dear list,
I am trying to use the 'mvrnorm' function from the MASS package for
simulating multivariate Gaussian data with given covariance matrix.
The diagonal elements of my covariance matrix should be the same,
i.e., all variables have the same marginal variance. Also all
correlations between all pair of variables should be identical, but
could be any value in [-1,1]. The problem I am