similar to: Latent class multinomial (or conditional) logit using R?

What's the best approach to running latent class analysis with R? I've downloaded both randomLCA and poLCA packages, but I am interesting in running a standard LCA with individual records (not frequency table) as input data. Wen Gu John Jay College of Criminal Justice445 West 59 StreetNew York, NY 10029 wgu@gc.cuny.edu _________________________________________________________________

Dear R users, I would like to perform Latent Class Logit Models for the analysis of choice experiments in environmental valuation. This kind of analysis is usually performed with NLogit Software (http://www.limdep.com). I attach the results I usually obtain using NLogit and NLogit model specifications. For Random parameter models and Logit Models I usually perform my analysis with the package

My problem is I have data with both categorial and numerical data, currently only the categorical number contains missing data, was wondering do I make a new dataframe containing only the categorical columns? How would you use Latent Class Model specifically poLCA to impute the missing data? http://www.sscnet.ucla.edu/polisci/faculty/lewis/pdf/poLCA-JSS-final.pdf The reason why I chose not to

_____ De : Pousset [mailto:maud.pousset@noos.fr] Envoyé : mardi 4 juillet 2006 18:38 À : 'r-help@stat.math.ethz.ch' Objet : Latent Class Analysis Hello everybody, I am working on latent class analysis and have already used the ‘R’ function « lca » (in the e1071 package). I ‘ve got interesting results but I can’t simply find out the methodology used by this routine : 1) What

Hi everyone, I'm using the poLCA module for some analysis work. Basically, Im using the command >poLCA(f, data=response,nclass=2) This returns a poLCA object (a list) >From this data, I need to retrieve certain indexes, such as[[5]] as seen below. [[5]] Pr(1) Pr(2) Pr(3) class 1: 0 1.0 0.0 class 2: 0 0.5

Hello, I want to perform a latent class analysis using poLCA package. My formula is: substances <- cbind(subs1, subs2, subs3, subs4, subs5, subs6) ~ gender+age+education+income+occupation+urban+dbehavior+incarceration+treatment+depression+alcriteria I want to include sample weights in the model, I have read that poLCA does not take into account weights, but when I introduce them, it seems

Dear all, I'm an Sri Lankan undergraduate student. I'm also a total newbie to R. My aim is to use the poLCA package to do a latent class analysis. I found the documentation very helpful, but need to make a small clarification that has stumped me awhile. In my work, I need to make provision for conditional dependence. I'm told that poLCA lets you do that. Unfortunately, I

Dear R-users, I keep getting an ERROR saying " Error in model.matrix.default(formula, mframe) : model frame and formula mismatch in model.matrix() " when i fit poLCA with more than 63 variables. Below are the details. I am trying to do a Latent Class Analysis using poLCA. My data set contains binary scores of, for instance, 200 students on 100 items. These numbers could even be more

Hi, I am working with -poLCA- which uses the package -scatterplot3d- in order to work. However, I work on a restricted server that is not online. The R-version installed there is 2.6. However, running library(poLCA) after installing the most recent -scatterplot3d- on the server leaves me with R telling me that scatterplot3d needs R-version 2.7 or a more recent versions. Since I cannot install the

Hi there, I have the following problem: I have a package called "polLCA" which has the following syntax: poLCA(formula, data) and needs the following formula definition: formula <- cbind(V1,V2,V3,...) So far so good. What I tried now was the following: #Get "data" with the "read.table" fuction data <- read.table("d:/ .....) #Select cols to use in the

Dear all Last week, I posted a question and some of you spent their valuable time to respond. Thank you (once again). This time, after doing a lot of homework, I return with  a second question on the issue. I was advised to use poLCA for a Latent Class Analysis with covariates. The software works well, although I feel a bit uncomfortable with the fact that you need to run many times the

Hi, I am running some latent class models with civariates using poLCA in R, and have a question the meaning of some error messages. My model has 8 y-variables (dichotomous) and 2 x-variables (also dichotomous), and I am trialling different numbers of classes. When I run a 2-class model, the model runs fine without any error messages. I used the nrep = 10 option to avoid local maxima. Class %

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 variables (percentages). I looked around for information in flexmix, lca, and poLCA, and couldn't find

Using SUSE Linux, Windows 32 bit and Windows 64 bit R 3.0.2 , I am unable to use R CMD check successfully. Here is the Windows 64 bit report: Z:\R\source\effects>R CMD check pkg * using log directory 'Z:/R/source/effects/pkg.Rcheck' * using R version 3.0.2 (2013-09-25) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * checking for file

Hi everyone, I'm an R newbie working with the poLCA module. I achieved my target without having to bother anyone, but It seems that I've got stuck at the last minute. My problem is simple. I need to write my results into a file. My results are in the shape of a list (unbalanced columns) I've considered several methods (sink(), write.file) etc. etc. Unfortunately, I'm not the best

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

Hello, First time posting to this mail list. I'd like to use R in the most efficient way. I'm accomplishing what I want, but feel there is a more R'ish way to do it. Just learning R. *My goal: get ranks of value across rows with row names and column names intact.* I'm guessing one of the [?]apply functions will do what I need, but I couldn't sort out which one (after a lot

On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote: > I used bcond locally and wrongly assumed that fedpkg build would > support --with BCOND and --without BCOND. Instead, the way to activate > it is to change to "%bcond_with check" and then revert to > "%bcond_without check". The only difference with bootstrap is that > "bootstrap" is recognized

Dear all, I have just sent a message asking about poLCA but I thought of another question I wanted to ask. I get the G^2 statistic in my output and want to test for its significance. I get that the degrees of freedom for the test are (S-1-p) where S is the number of different patterns observed and p is the number of estimated parameters. Are these the "residual degrees of freedom" that

As far as I know, there are 2 libraries for latent class regression, flexmix and mmlrc. Since I don't have experience with either one, can someone give me some advice which library is better? Thank you so much.