similar to: Latent models

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 the lca() function of the e1071 package. This function requires me to specify the number of classes

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 _________________________________________________________________

_____ 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

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 Fax : +47-5558-9879 | | Email : backer at psych.uib.no URL :

btw, do you have commit access or should I commit it? On 6 January 2015 at 11:22, Rafael Espíndola <rafael.espindola at gmail.com> wrote: > LGTM, thanks! > > On 4 January 2015 at 19:08, Wilfred Hughes <me at wilfred.me.uk> wrote: >> Hi >> >> I'd like users to be able to install the LLVM major modes from >> MELPA[1], the most popular Emacs package

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

Hello, I will use the lca method in the e1071 package. But I get the following error: Error in pas[j, ] <- drop(exp(rep(1, nvar) %*% log(mp))) : number of items to replace is not a multiple of replacement length Does anybody know this error and knows what this means? Kind regards, Tryntsje

Hello All, I was wondering how I can get the overall Pearson chi^2 test of model fit with its df and p value in the LTM package for the 2PL models. Thanks, -- Davood Tofighi Department of Psychology Arizona State University [[alternative HTML version deleted]]

Dear List, just a little question, I am interested in Latent Class Analysis and I guess if there is a package for this pourpose thank for you help, Simone

Dear R-List, to assess the model fit for 2PL-models, I tried to mimic the bootstrap-approach chosen in the GoF.rasch()-function. Not being a statistician, I was wondering whether the following simplification (omit the "chi-squared-expressed model fit-step") would be appropriate: GoF.ltm <- function(object, B = 50, ...){ liFits <- list() for(i in 1:B){ rndDat <-

Dear R-users, I'd like to announce the release of the new version of package `ltm' (i.e., ltm_0.8-0 soon available from CRAN) for Item Response Theory analyses. This package provides a flexible framework for analyzing dichotomous and polytomous data under IRT, including the Rasch model, the Two-Parameter Logistic model, Birnbaum's Three-Parameter model, the Latent Trait model

Dear R-users, I'd like to announce the release of the new version of package `ltm' (i.e., ltm_0.8-0 soon available from CRAN) for Item Response Theory analyses. This package provides a flexible framework for analyzing dichotomous and polytomous data under IRT, including the Rasch model, the Two-Parameter Logistic model, Birnbaum's Three-Parameter model, the Latent Trait model

Hi I'd like users to be able to install the LLVM major modes from MELPA[1], the most popular Emacs package repository. However, these files are not well-formed packages. I've made the following changes: * Both files have valid package headers and footers (you can verify with M-x checkdoc). * Fixed style warnings generated by checkdoc. * Fixed a byte-compiler warning in llvm-mode.el. *

Dear all, I'm working on ability estimates using Rasch model. Using the "ltm" package, the procedure is quite simple: ## Factor Scores for the Rasch model fit <- rasch(LSAT) factor.scores(fit) What about Partial Credit Model (PCM)? For PCM I use PCM function from eRm package. Is there any similar function like factor.scores to estimate ability scores using PCM model? Best,

Hello there, In the e1071 package,'lca' function only works for binary data for Latent class analysis. Am I right? I would like to test the agreement amongst 6 raters for nominal data ona scale from 1-4, and conduct a latent class analysis. What package and what function may I use? Thank you very much Lisa Wang Princess Margaret Hospital tel: 416 946 4501

Afternoon R help, I want to run Rasch/IRT analyses using the ltm package, however, I am using large scale survey data which requires weighting for accurate results. I attempted to create a weighted object to insert into the formulae of the ltm packages, however, the survey data only includes 30 replicate weights and a sampling weight. The svrepdesign requires additional information such as

Hi, I have a problem with R, after an update: this piece of code: cat("creating resolver data frame\n"); dfG<-cbind(dfG,2^(RGN$G)) dfR<-cbind(dfR,2^(RGN$R)) suddenly, creates values to inf. Is the syntax changed for the ^ symbol in the latest R downloadable version? Kind regards, wilfred -- Dr. Ir. Wilfred Van IJcken Labmanager Genomics Erasmus Center for Biomics,

Dear R users, Is there any package for Latent Class Analysis (to be used in a clustering application) which supports mixed indicator variables (categorical and continuous)? Alternatively, is there any other clustering algorithm available that supports this type of data? Thanks in advance for your help. Regards, Lars. [[alternative HTML version deleted]]

But this one return a lot of objects : sudo ldbsearch -H ldap://server1 -P -b"DC=example.com,CN=MicrosoftDNS,DC=ForestDnsZones,DC=exemple,DC=com" -s sub '(&(objectClass=dnsNode)(!(dNSTombstoned=TRUE)))' dnsRecord name @Wilfred : Sorry I fogot an argument, but if I ajust the command I have the same answer than with --mark-old-records-static=2021-03-30 Samuel Le mer. 8 nov.

When a user is not using a samba share, after a while they become "inactive". When a user wants to access the share again, it takes an irritating long time before they get access again. The (windows) application that does the accessing is not responding during that time. There are no drive letters assigned to the shares in a logon script. When I do assign a drive letter to the share (in