Displaying 7 results from an estimated 7 matches for "parcor".
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2010 Jan 06
0
parcor 0.2-2 - Regularized Partial Correlation Matrices with (adaptive) Lasso, PLS, and Ridge Regression
Dear R-users,
we are happy to announce the release of our R package parcor.
The package contains tools to estimate the matrix of partial
correlations based on different regularized regression methods: Lasso,
adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides
cross-validation based model selection for Lasso, adaptive Lasso and
Ridge Regression.
M...
2010 Jan 06
0
parcor 0.2-2 - Regularized Partial Correlation Matrices with (adaptive) Lasso, PLS, and Ridge Regression
Dear R-users,
we are happy to announce the release of our R package parcor.
The package contains tools to estimate the matrix of partial
correlations based on different regularized regression methods: Lasso,
adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides
cross-validation based model selection for Lasso, adaptive Lasso and
Ridge Regression.
M...
2011 Jul 19
0
Using line spectral pairs for LPC quantization
Dear Stefan,
In the paper "Improved Forward-Adaptive Prediction for MPEG-4 Audio Lossless Coding", a non-linear compander is applied to the parcor coefficients prior to quantization. This compander is designed in order to minimize quantization error, especially for magnitudes close to unity.
If you determine the typical distribution of magnitudes of the LPC coefficients, you could design a good non-linear compander in order to minimize the e...
2000 Feb 25
0
Summary: Partial correlation coefficients in R. Thanks everybody!
...conc <- solve(var(x))
resid.sd <- 1/sqrt(diag(conc))
pcc <- - sweep(sweep(conc, 1, resid.sd, "*"), 2, resid.sd, "*")
return(pcc)
}
This is the version I'm using now, together with a test for significance of
each coefficient (H0: coeff=0):
f.parcor <-
function (x, test = F, p = 0.05)
{
nvar <- ncol(x)
ndata <- nrow(x)
conc <- solve(cor(x))
resid.sd <- 1/sqrt(diag(conc))
pcc <- -sweep(sweep(conc, 1, resid.sd, "*"), 2, resid.sd,
"*")
colnames(pcc) <- rownames(pcc) <- co...
2001 Aug 01
3
partial correlations
Howdy!
I need to calculate partial correlations and I just can't find out how to
do that with R. Can anybody help?
Ragnar
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2013 Aug 26
2
Partial correlation test
Dear all,
I'm writing my manuscript to publish after analysis my final data with
ANOVA, ANCOVA, MANCOVA. In a section of my result, I did correlation of my
data (2 categirical factors with 2 levels: Quantity & Quality; 2 dependent
var: Irid.area & Casa.PC1, and 1 co-var: SL). But as some traits (here
Irid.area) are significantly influenced by the covariate (standard length,
SL), I
2010 Apr 15
4
Does "sink" stand for anything?
Hello Everyone,
Learning about R and its wonderful array of functions. If it's not obvious, I usually try to find out what a function stands for. I think this helps me remember better.
One function that has me stumped is "sink." Can anyone tell me if this stands for something?
Thanks,
Paul
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