similar to: flexmix

Greetings I'm a relatively new R user and I'm trying to build a latent class model. I've used the 'R Site Search' and it appears there's not much dialogue on these packages On mmlcr, I've gotten it working, but not sure if I'm using it correctly. On flexmix, I can only seem to get results for one class. I'm attaching my code below - if anyone

Dear list: I would like to recreate how the artificial data set BregFix was generated in package flexmix (thanks Bettina and Friedrich). The data set is thoroughly described in Grun and Leisch's Computational Statistics & Data Analysis 51(11) :5247-5252 but references to the appropriate seed number(s) are missing (providing these details was certainly beyond the scope of the authors'

Hi, Before I write code to do it does anyone know of code for fitting mixtures of multivariate-t distributions. I can't use McLachan's EMMIX code because the license is "For non commercial use only". I checked, mclust and flexmix but both only do Gaussian. Thanks Nicholas

Dear R-helpers & Friedrich Leisch, I'm trying to fit a mixture of regression models on attached data set by doing the following: agl <- read.table("agl.txt") mod1 <- flexmix(resp~gng+csc|Subject,data=agl, model=FLXglm(family="binomial"),k=2) The result is a (varying) number of the following warnings: Warning messages: 1: non-integer #successes in a

Hi, I was going through the examples in smartpred. It seems there's an unstated dependency on the fitted() function in package flexmix. n = 20 set.seed(86) x = sort(runif(n)) y = sort(runif(n)) library(splines) fit = lm(y ~ ns(x, df=5)) plot(x, y) lines(x, fitted(fit)) # won't work w/o prior loading of the flexmix package. newx = seq(0, 1, len=n) points(newx, predict(fit,

Problem on flexmix when trying to apply signature developed in one model to a new sample. Dear R Users, R Core Team, I have a problem when trying to know the classification of the tested cases using two variables with the function of flexmix: After importing the database and creating a matrix: BM<-cbind(Data$var1,Data$var2) I see that the best model has 2 groups and use: ex2

Dear useRs, FlexMix version 1.0-0 has been released on CRAN. FlexMix implements a general framework for finite mixtures of regression models using the EM algorithm. FlexMix provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based

Dear useRs, FlexMix version 1.0-0 has been released on CRAN. FlexMix implements a general framework for finite mixtures of regression models using the EM algorithm. FlexMix provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based

Hello all, I am trying to fit a truncated mixture model and I wrote a driver for flexmix following the example in the vignette, but it doesn't work for me: it assigns all data points to one component only, e.g.: > > source('bugged.R') > > Call: > flexmix(formula = x ~ 1, k = 2, model = truncatedmodel(lower = -4, > upper = 4)) > > prior size

I am receiving the following error while executing KLdiv method: kl<-KLdiv(y) Error in function (classes, fdef, mtable) : unable to find an inherited method for function "KLdiv", for signature "data.frame" the code is as follows: require(flexmix) KLdiv(y) the object y (snippet, actual object contains 188 entries) is as follows: s1p5 s2p5 1 0.6 0.8 2 0.8

Dear list, I have been comparing the outputs of two packages for latent class regression, namely 'flexmix', and 'mmlcr'. What I have noticed is that the flexmix package appears to come up with a much better fit than the mmlcr package (based on logLik, AIC, BIC, and visual inspection). Has anyone else observed such behaviour? Has anyone else been successful in using the mmlcr

I've been trying to install some R packages such as mclust and flexmix on linux but have had the following error messages. > I've been trying to install mclust on my notebook which has linpus linux lite os and I have installed R as well as some packages all right. However, when I tried to install mclust, it gave me the following messages. Any suggestions? Tim ++++++++++++++++

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" mode, i.e. the equal variance mode. I could never get it to work on "V" mode [

Hello list, Has anyone had any luck creating an M-step driver for negative binomial regression for use with package flexmix? I've had a look here: http://cran.r-project.org/web/packages/flexmix/vignettes/flexmix-intro.pdf as well as poking around in the flexmix source, but I haven't had much luck getting anything to work. I can't figure out how to a) come up with an initial estimate

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 generates intercepts. I have intercept for both of the equations that my X matrix looks like

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 I am looking for a simpler solution) the final probability of the mixture (for each individual)

I am trying to estimate a latent class multinomial logit regression with flexmix. I am not sure if I should do it as follows: m4<-flexmix(cbind(y,1-y)~x1+x2|id,model=FLXMRglm(family="binomial"),data=NPreg,k=2) , where id links each row with the corresponding respondent. Each respondent has 4 alternatives to chose from. y takes the value 1 only for the alternative chosen; x1 and

Hi, Marion, I believe the package FlexMix provides a more generalized version of finite mixture modeling than is found in mclust/mclust02. Please see: http://cran.r-project.org/doc/vignettes/flexmix/flexmix-intro.pdf Karen --- Karen M. Green, Ph.D. Karen.Green@sanofi-aventis.com Research Investigator Drug Design Group Sanofi Aventis Pharmaceuticals -----Original Message-----

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

I've been trying with no success to model mixtures of Gamma distributions using the package flexmix (see examples below). Can anyone help me get it to model better? Thanks very much. -Ben ## ## Please help me get flexmix to correctly model mixtures of ## Gamma distributions. See examples below. ## library('flexmix') ## ## Plot a histogram of dat and the Gamma mixture model given