similar to: Latent models

Displaying 20 results from an estimated 2000 matches similar to: "Latent models"

2011 May 23
2
Latent class analysis, selection of the number of classes
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
2009 Feb 25
2
run latent class analysis with 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 _________________________________________________________________
2015 Jan 06
2
[LLVMdev] [PATCH] Fix Emacs package formatting
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
2009 Jan 15
2
LCA (e1071 package): error
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
2006 Jul 13
1
TR: Latent Class Analysis
_____ 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
2008 Mar 10
1
ltm package question
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]]
2008 Feb 15
1
Latent class analysis
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 :
2011 Jan 31
2
Latent Class Logit Models in discrete choice experiments
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
2011 Nov 20
2
ltm: Simplified approach to bootstrapping 2PL-Models?
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 <-
2015 Jan 05
2
[LLVMdev] [PATCH] Fix Emacs package formatting
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. *
2007 May 08
0
package ltm -- version 0.8-0
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
2007 May 08
0
package ltm -- version 0.8-0
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
2008 Sep 18
2
Ability estimates for partial credit model
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,
2001 Nov 05
2
Item Response Analysis
Hello, Would someone have ever heard or developed any Item Response Models library for R ? Of course, a Rasch model can be estimated through glm() but it is not the case for more complex (polytomous) response models. Similarly I would be interested in any R implementation of nonlinear multivariate analyses a la GIFI (HOMALS, PRINCALS, OVERALS). Thanks a lot in advance, Yvonnick Noel, PhD.
2011 Jul 27
1
Inserting weights in ltm package
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
2005 Aug 11
2
question
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,
2023 Nov 08
1
samba-tool dns zoneoptions --mark-old-records-static
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.
2004 Jun 14
2
Samba shares becoming inactive after a while
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
2011 Feb 10
1
factor.scores
The function factor.scores is used with package ltm and others to estimate IRT type scores for various models. It inherits objects of class grm, gpcm and a few others. What I would like to do is to use the factor.scores function, but feed it my own item parameters (from a bifactor model where the 2PL parameters are adjusted for the bifactor structure). Does anybody have an idea of how this might
2006 Sep 06
0
package ltm -- version 0.6-0
Dear R-users, I'd like to announce the release of the new version of package 'ltm' for analyzing multivariate dichotomous and polytomous data under the Item Response Theory approach. New features: * function tpm() (along with supporting methods, i.e., anova, plot, margins, factor.scores, etc.) has been added for fitting Birnbaum's Three Parameter Model. * grm() can now