Displaying 20 results from an estimated 8000 matches similar to: "flexmix version 1.0-0 released"
2006 Mar 21
0
finite mixture model, using flexmix
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
2007 Nov 20
0
try FlexMix RE: mulitmodal distributions
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-----
2011 Feb 28
0
Gamma mixture models with flexmix
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
2013 Apr 23
2
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 could do all I need, however, I do not get sentible results as if I try the following the result is poor:
2007 Apr 16
1
flexmix glm warning
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
2009 Dec 04
0
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" mode, i.e. the
equal variance mode. I could never get it to work on "V" mode [
2008 Jun 17
1
read.spss {foreign} doesn't work over network?
I'm unable to open an SPSS file over my network. If I copy it to my
local C:/ drive I can read it. I saved the command (in a "crib sheet"
text file) in order to avoid all the typing, so I'm pretty sure I've
done it before. I verified that the file I'm trying to read is OK.
This is what happens:
> SurveyData <-
2011 Mar 01
1
Problem on flexmix when trying to apply signature developed in one model to a new sample
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
2005 Apr 12
1
R Package: mmlcr and/or 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
2012 Oct 30
1
Data set BregFix in package flexmix
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'
2009 Nov 09
1
model based clustering with flexmix
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
2011 Jan 12
0
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 I am looking for a simpler solution) the final probability of the mixture (for each individual)
2005 Sep 08
1
clustering: Multivariate t mixtures
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
2011 Aug 24
0
Refit for flexmix
Hi all,
Just a small question: After fitting a multivariate mixture using flexmix, I
wish to use refit to get the parameters of covariates and their standard
errors. However using refit I only can see the components for the first
dependent variable. What should I do if I want to see the others?
Thanks a lot,
Eric
--
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2018 Apr 27
0
about combining analysis results using package 'flexmix' and ' mice'
Hi,
I am currently using package ?mice? to do multiple imputation for tourist
data here. Then the complete datasets (e.g. m>= 100) will be analyzed
with a finite mixture model using package ?flexmix?. I have found that it
seems no feasible way to combine the multiple results into a final one
smoothly using just a few commands. By the way I have seen that package
like ?semTools? has such
2011 Feb 23
0
negative binomial latent class regression in package flexmix
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
2012 Jun 15
0
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 generates intercepts.
I have intercept for both of the equations that my X matrix looks like
2011 Dec 21
0
Estimating a latent class multinomial logit regression with flexmix
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
2007 Feb 08
1
smartpred depends on fitted() in flexmix?
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,
2012 Mar 28
0
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 used FlexMix to do clustering on this type of data before? Any pointers would be much