Dear all,
is there a way to extract individual likelihoods from a glm/lrm object?
By individual likelihoods, I mean the likelihoods whose product give the
overall likelihood of the model.
I guess the code in the base package, used to compute the Akaike Information
Criterion may help me.
However, I
Hi,
I'm trying to figure out some stastistics for non-nested models testing.
Among them:
[1] Vuong statistic (Vuong, 1989)
[2] Distribution-free test by Clarke (2003).
Did someone wrote a piece of [R] code to compute any of them?
Many thanks,
Bruno
Bruno L.
Hi,
I'm clustering objects defined by categorical variables with a hierarchical
algorithm - average linkage.
My distance matrix (general dissimilarity coefficient) includes several
distances with exactly the same values.
As I see, a standard agglomerative procedure ignores this problems, simply
What I did was, in presence of equal values distances, to randomize the
selection of them, and compute the distortion of the solution using
cophenetic correlation.
I computed 1 random trees for each of three methods: average, single
and complete linkage.
Among the randomly selected solutions,
If anybody had the same problem I had in calculating the cindex with the
clustIndex function (binary data),
replace this line of code:
if (length(unique(x))==2)
with this one:
if (length(unique(as.vector(x)))==2)
located in the call to the procedure for calculating the cindex, in the
cclust
Hi,
I'm trying to debug a function I wrote to calculate the cindex for a
hierarchical tree.
For this it is useful to compare my calculations with those in output from
the clustindex function, in the cclust library.
There's no way, however, to have the cindex value for a given output of the
cclust
Hi,
I'm trying to debug a function I wrote to calculate the cindex for a
hierarchical tree.
For this it is useful to compare my calculations with those in output from
the clustindex function, in the cclust library.
There's no way, however, to have the cindex value for a given output of the
cclust
