Displaying 7 results from an estimated 7 matches for "posdefifi".
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posdefify
2011 Feb 04
2
always about positive definite matrix
1. Martin Maechler's comments should be taken as replacements
for anything I wrote where appropriate. Any apparent conflict is a
result of his superior knowledge.
2. 'eigen' returns the eigenvalue decomposition assuming the
matrix is symmetric, ignoring anything in m[upper.tri(m)].
3. The basic idea behind both posdefify and nearPD is to compute
the
2004 Dec 13
0
Re: Help : generating correlation matrix with a particula r
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Important: We would draw your attention to the notices at
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reviewing any file attachment(s).
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Martin,
Thank you for letting us know about posdefify. It does do exactly what the
Rebonato paper recommended and
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
2004 Dec 13
1
Re: Help : generating correlation matrix with a particular
************************************************************
Important: We would draw your attention to the notices at
the bottom of this e-mail, particularly before opening and
reviewing any file attachment(s).
************************************************************
Here is some code we have used.
a<-array(c(1,.9,.7,.9,1,.3,.7,.3,1),dim=c(3,3))
a
s<-eigen(a)$vectors
2006 Jul 21
3
positive semi-definite matrix
I have a covariance matrix that is not positive semi-definite matrix and I
need it to be via some sort of adjustment. Is there any R routine or
package to help me do this?
Thanks, Roger
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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%
2007 Dec 05
1
Calculating large determinants
I apologise for not including a reproducible example with this query but I
hope that I can make things clear without one.
I am fitting some finite mixture models to data. Each mixture component
has p parameters (p=29 in my application) and there are q components to
the mixture. The number of data points is n ~ 1500.
I need to select a good q and I have been considering model selection
methods