Hi,
In running a latent class analysis. Do I first check for significant
categorical predictors and only use those in the latent class model?
For example, if I have a dependent variable that is binary and I have 30
categorical independent variables, should I run a logistic regression first
to find
Thanks everybody.
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call output for a range a latent classes, and
evaluate solutions. The commands are very simple.
David Joubert
Date: Tue, 24 May 2011 12:30:01 +0100
From: chr...@stats.ucl.ac.uk
To: dan...@umd.edu
CC: r-help@r-project.org
Subject: Re: [R] Latent class analysis, selection of the number of class
. The commands are very simple.
David Joubert
> Date: Tue, 24 May 2011 12:30:01 +0100
> From: chr...@stats.ucl.ac.uk
> To: dan...@umd.edu
> CC: r-help@r-project.org
> Subject: Re: [R] Latent class analysis, selection of the number of classes
>
> Dear Daniel,
>
> the
Dear Daniel,
the BIC can be used to estimate the number of classes. This is actually
given out by lca, so you could run lca with several different k and pick
the solution that gives you the best BIC.
Unfortunately I can't tell you whether "large is good" or "small is good"
for the BIC implemen
function ?stepFlexmix in the flexmix package may be what you're looking for
hth, Ingmar
On Mon, May 23, 2011 at 11:21 PM, Daniel Malter wrote:
> Hi,
>
> I perform latent class analysis on a matrix of dichotomous variables to
> create an indicator of class/category membership for each observation
Hi,
I perform latent class analysis on a matrix of dichotomous variables to
create an indicator of class/category membership for each observation. I
would like to know whether there is a function that selects the best fit in
terms of number of classes/categories.
Currently, I am doing this with t
Donald,
Mixed types are handled in flexmix and in depmixS4, not sure about ordinal
in flexmix (depmixS4 does not handle ordinal but does handle multinomial,
constraints may be an
option to deal with ordinal); both have glm distributions, ie gaussian,
binary and many
others.
Best, Ingmar
On Sat, Ju
As an alternative to Latent GOLD, I'm wondering if anyone knows of and R
package that can manage Latent Class Analysis with mixed variable types
(continuous, ordinal, and nominal/binary).
[[alternative HTML version deleted]]
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Hi Everybody,
If I build a latent class model using lca or flexmix, how can I use the result
to score another set of data and get predictions for class membership for that
other set of data? I don't see a predict. function for lca or flexmix.
Help would be much appreciated.
--John Sparks
Dear R-help listers,
I am a new convert to R. I am trying to use a r package to conduct latent
class analysis as a triangulation check of my cluster analysis using the
cluster package in R. I have about 30 cases and 6 indicators, some of which
are binary indicators and others are ratio-level varia
http://med.kuleuven.be/biostat/
>> http://www.student.kuleuven.be/~m0390867/dimitris.htm
>>
>>
>> - Original Message -
>> From: "Tom Backer Johnsen" <[EMAIL PROTECTED]>
>> To: <[EMAIL PRO
Original Message -
> From: "Tom Backer Johnsen" <[EMAIL PROTECTED]>
> To: <[EMAIL PROTECTED]>
> Sent: Friday, February 15, 2008 10:32 AM
> Subject: [R] Latent class analysis
>
>
>> Which package(s) contain something on latent class analysis?
>>
&
be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
- Original Message -
From: "Tom Backer Johnsen" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Friday, February 15, 2008 10:32 AM
Subject: [R] Latent class analysis
> Which package(s
Which package(s) contain something on latent class analysis?
Tom
--
++
| Tom Backer Johnsen, Psychometrics Unit, Faculty of Psychology |
| University of Bergen, Christies gt. 12, N-5015 Bergen, NORWAY |
| Tel : +47-5558-9185
try flexmix.
On Feb 1, 2008 3:23 PM, Suyan Tian <[EMAIL PROTECTED]> wrote:
> Hi, does some one know how to run the latent class analysis in R?
> like which package and command I should use?
>
> thanks a lot,
>
> Suyan Tian
>
> __
> R-help@r-project.org m
Hi, does some one know how to run the latent class analysis in R?
like which package and command I should use?
thanks a lot,
Suyan Tian
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