> Steven Yen
> on Tue, 7 Nov 2023 09:09:33 +0800 writes:
> Dear
> I estimate a sample selection model using the Clayton copula and Burr
> and Gaussian marginal. I need to derive ther Kendall'sw tau from the
> concordance coefficient by integration. I came across a wa
Dear
I estimate a sample selection model using the Clayton copula and Burr
and Gaussian marginal. I need to derive ther Kendall'sw tau from the
concordance coefficient by integration. I came across a way to do that
in R long time ago but cannot find it again. Can somewone tell me what
to read
On 06/24/2011 05:16 AM, Assieh Rashidi wrote:
Is there any package for computing concordance coefficient of incomplete
ranking?
If there is not, please help me to write it.
Hi Assieh,
The muranks function in the crank package will impute missing ranks as
the mean value of all missing ranks if
Is there any package for computing concordance coefficient of incomplete
ranking?
If there is not, please help me to write it.
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Gad Abraham wrote:
K F Pearce wrote:
Hello everyone.
This is a question regarding generation of the concordance index (c
index) in R using the function rcorr.cens. In particular about
interpretation of its direction and form of the 'predictor'.
Since Frank Harrell hasn't replied I'll contr
K F Pearce wrote:
Hello everyone.
This is a question regarding generation of the concordance index (c
index) in R using the function rcorr.cens. In particular about
interpretation of its direction and form of the 'predictor'.
Since Frank Harrell hasn't replied I'll contribute my 2 cents.
Hello everyone.
This is a question regarding generation of the concordance index (c
index) in R using the function rcorr.cens. In particular about
interpretation of its direction and form of the 'predictor'.
One of the arguments is a "numeric predictor variable" ( presumably
this is just a *si
on 12/07/2008 09:23 AM paul murima wrote:
> Hi.
> I have data which i would want to assess the degree of agreement
> between two assays, e.g., to evaluate reproducibility or for
> inter-rater reliability. I have used the Pearson product-moment
> correlation coefficient. It looks good ranginging b
] De
la part de paul murima
Envoyé : dimanche 7 décembre 2008 16:23
À : r-help@r-project.org; [EMAIL PROTECTED]
Objet : [R] concordance correlation coefficient using R
Hi.
I have data which i would want to assess the degree of agreement
between two assays, e.g., to evaluate reproducibility or
Hi.
I have data which i would want to assess the degree of agreement
between two assays, e.g., to evaluate reproducibility or for
inter-rater reliability. I have used the Pearson product-moment
correlation coefficient. It looks good ranginging between 0.90 to
0.998. Though this looks good. I am t
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