[R] flexmix - concomitant model and significance of variables

Dear All, I am new to this forum and to flexmix. I am using flexmix to make a cluster analysis (Model Based). The data for the clustering are all continuous (although all between 0 and 1). I also want to see the correlation between found clusters and some socio economic variables, so I am using

[R] Flexmix and variance of error terms

Hi, I am using flexmix to model some data which is modelled with linear regressions. I have results obtained along the lines of that shown below, and can retreive component parameters, but I cannot find a way or retrieving the variance of the sigma (variance of the normal model) can anyone a

Re: [R] flexmix

Can you please stop sending mails from "R Project"? Please identify yourself and don't call yourself "R Project". Uwe Ligges On 23.04.2013 22:54, R Project wrote: Hi, I am trying to understand how to use the flexmix package, I have read the Leisch paper but am very unclear what is neede

[R] flexmix

Hi, I am trying to understand how to use the flexmix package, I have read the Leisch paper but am very unclear what is needed for the M-step driver. I am just fitting a simple linear regression model. The documentation is far from clear what the FLXmclust function does, but, it in principle c

[R] Flexmix package

Hi, I am using the package "flexmix" and would like get some assistance. I am trying to run two equations jointly Y1=X1B+E1 Y2=X2G+E2 So that I have X and Y in a matrix format and would like to run the latent class model using flexmix. Though, my problem here is that Flexmix automatically genera

[R] FlexMix for clustering of gene expression data

Hello, I'm trying to cluster gene expression data as in http://bioinformatics.oxfordjournals.org/content/28/2/222.full It looks like they are using some combination of FlexMix and mgcv but I haven't been able to figure out the exact steps necessary to perform the clustering. Has anyone else us

Re: [R] Flexmix new data classification

Thank you very much for those suggestions, it really helped me a lot. I just got another problem, i want to run flexmix GLM binomial model with huge dataset (say 5 million rows), but the problem is i cant run flexmix with this dataset as a whole in R ( it will crash). So is it fair to run the fle

Re: [R] Flexmix new data classification

Hi, I built a flexmix GLM binomial model with 200 observations and the model gave me 2 clusters, so if the model is named as newModel then i get the cluster index for each row using newModel@clusters. Now is there any way to predict which cluster the new observation or 201 observation belongs t

Re: [R] Flexmix new data classification

?clusters tells you how to get class membership for new data (and the appropriate way of getting cluster membership is to use clusters(newModel) rather newModel@clusters) hth, Ingmar On Tue, Feb 7, 2012 at 8:48 AM, loyolite270 wrote: > Hi > > I built a flexmix GLM binomial model with 200 observa

[R] Flexmix new data classification

Hi I built a flexmix GLM binomial model with 200 observations and the model gave me 2 clusters, so if the model is named as newModel then i get the cluster index for each row using newModel@clusters. Now is there any way to predict which cluster the new observation or 201 observation belongs to u

[R] Flexmix new data classification

hi I built a flexmix GLM binomial model with 200 observations and the model gave me 2 clusters, so if the model is named as newModel then i get the cluster index for each row using newModel@clusters. Now is there any way to predict which cluster the new observation or 201 observation belongs to u

[R] flexmix: predictions on new data from flexmix object

Dear R Users, R Core Team, I currently wonder how to predict the probability of an event with new data resulting from a finite mixture. I read the documentation of the flexmix package and the examples of applications provided on CRAN but I could not find how to predict (except "manually" but

[R] Flexmix - mixture modeling

I am trying to set up a mixture model using flex mix. I have a response vector Y, a set of predictors X and grouping variables Z. When i try to run flexmix i get the error below.Am i coding it wrong? fit1 <- flexmix(formula=Y~X|Z, data = data, k=3, cluster = NULL, model=NULL, concomitant=NULL, co

[R] flexmix and mclust help

Hello, I'm trying out flexmix and mclust for the first time on some univariate data which is typically best described as lognormal, but can sometimes be gamma distributed as well. I first tried using EM on mclust assuming the data was lognormally distributed and could only get it to work in "E"