similar to: clustering with finite mixture model

I am doing hierarchical clustering with cluster package.  I couldnot find similarity measures like matching coefficient, Jaccard coefficient and sokal and sneath. Could anyone please tell package with similarity measures for binary data? kind regards, Ms.Karunambigai M PhD Scholar Dept. of Biostatistics NIMHANS Bangalore India From cricket scores to your friends. Try the Yahoo! India

hi, I want to do hierarchical clustering with Jaccord index. I tried to do with vegan package for finding index and hierarchical clustering with hclust function. While doing clustering it is showing an error message as "invalid distance method". I would be grateful if anyone tells how to rectify the error. Thanks in advance,   kind regards, Ms.Karunambigai M PhD Scholar Dept. of

hi r-help, i am doing kmeans clustering in stats. i tried for five clusters clustering using: kcl1 <- kmeans(as1[,c("contlife","somlife","agglife","sexlife",                         "rellife","hordlife","doutlife","symtlife","washlife",                       

hi, I am trying to calculate distance matrices for binary data frame. I am using dist.binary in 'ade4' package. This is the code i run and get error message as 'missing value where True/False needed: clss <- as.data.frame(cls) dist.binary(clss, method = 1, diag = FALSE, upper = FALSE) Also, if i convert the factors into numeric(i.e,1&2 in the place of 0&1 for present/absent

Dear R-help, Can anybody tell me which R package has Lo-Mendell Rubin LR test and Bootstrap LR test to compare the model fit between k class and k+1 class model for Latent class analysis? Thanks in advance,  warn regards,Ms.Karunambigai M PhD Scholar Dept. of Biostatistics NIMHANS Bangalore India [[alternative HTML version deleted]]

Ms.Karunambigai M PhD Scholar Dept. of Biostatistics NIMHANS Bangalore India ----- Forwarded Message ---- From: karuna m <m_karuna2002@yahoo.com> To: R-help@r-project.org Sent: Thu, 26 May, 2011 10:55:02 AM Subject: likelihood ratio test Dear R-help, Can anybody tell me which R package has Lo-Mendell Rubin LR test and Bootstrap LR test to compare the model fit between k class and k+1

hi all, I am doing hierarchical clustering using similarity measures for binary data using package ade4 and hclust function. For method=8 and method = 9 of dist.binary, I am getting Na values. Hence, hclust function is giving error as Error in hclust(d8, method = "ward") :   NA/NaN/Inf in foreign function call (arg 11). I think the fact that due to zero in the denominator of the

Hello I am trying to find an automated way of fitting a mixture of normal and log-normal distributions to data which is clearly bimodal. Here's a simulated example: x.1<-rnorm(6000, 2.4, 0.6)x.2<-rlnorm(10000, 1.3,0.1)X<-c(x.1, x.2) hist(X,100,freq=FALSE, ylim=c(0,1.5))lines(density(x.1), lty=2, lwd=2)lines(density(x.2), lty=2, lwd=2)lines(density(X), lty=4) Currently i am using

https://bugzilla.netfilter.org/show_bug.cgi?id=1312 Bug ID: 1312 Summary: Interval should accept same start and end values as single value instead of throwing error Product: nftables Version: unspecified Hardware: x86_64 OS: All Status: NEW Severity: enhancement Priority: P5

Dear all, I'm fitting a set of length-of-stay data by a model of mixture of exponentials. I've been following the example on page 436 in MASS (5th Ed.). However, I have a couple of questions while following this example. What if we don't know how many components there are in the model in advance. Is there any established method to determine the number of components from a set of

Hi all, I have a question, is there any R package dealing with latent transition analysis with both categorical and continuous indicators? So far what I found from GOOGLE are only packages dealing with latent class analysis. So what about the longitudinal situation? Any way we could look at the transition from one class to another across time points? Thank you very much. ya [[alternative

Dear All, This is a question somewhat off-topic. Say, if I have known the number of components in the mixture, all the estimated parameters, prior probabilities, and so on for a finite mixture model, how might I compute the posterior probabilities of each case for a new dataset without observed response (Y)? I want to know the parametric form of such calculation such that I can calculate it

Do we have any R package that can do analysis on finite mixture model with logistic regression? Thanks Faith Feng Gao Dept. of Statistics Virginia Tech. Email: fgao at vt.edu

Can anyone point me to a comparision of the various packages avaliable to do Finite Mixture Models or Latent Class Models in R. As ever my googling only produce papers on specific packages or implementations. I am looking of a considered comparision that criticlaly compares them. Failing that just your own opinion or experience would be nice to hear. Best R

Dear R-users, I would like to use the package flexmix to fit latent classes to a regression model. My data are repeated measurements of bernouilli variables so I can use the binomial family link to the glm function. The design is not balanced, meaning that for some individuals in my data set I have 10 measurements or more, for others I only have 5 or even less. My question is the following. Can

Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component Weibull mixture -- where the components have a large overlap, and I am trying to adapt the "mclust" package which concern to normal

Dear all, I am attempting to model some one-dimensional data using a mixture model of non-central Student's t distributions. However, I haven't been able to find any R package that provides this functionality. Could there be a way to "manipulate" the EM algorithms from the mixdist or mixtools package to fit the model, or do you have any other suggestions? If anyone could help

Dear Listers, My post might be somewhat OT. Currently, I am trying to use flexmix to build a finite mixture model. For instance, I am getting the prior probability and coefficients for each latent class from training data. Is there a way to get the posterior probablity and prediction of a new dataset? What I am thinking is to apply the prior prob and coefficient from training set to testing data

Are there any S-Plus or R libraries/packages that do Finite Mixture Analysis following the algorithms similar to those implemented in Geoffrey MacLachlan's EMMIX program? Thanks. Dr. Marc R. Feldesman email: feldesmanm at pdx.edu email: feldesman at attglobal.net fax: 503-725-3905 "Don't know where I'm going. Don't like where I've been. There may be no exit. But

Dear List, I have read that a lognormal mixture model having a pdf of the form f(x)=w1*f1(x)+(1-w1)*f2(x) fits most data sets quite well, where f1 and f2 are lognormal distributions. Any pointers on how to create a function that would produce the 5 parameters of f(x) would be greatly appreciated. > version _ platform i386-pc-mingw32 arch i386 os