similar to: R capabilities: Bayesian estimation, Covariance Structure Analysis

Sincerely, Jeffrey Todd Lins Executive Director Quantitative Analysis Saxo Bank A/S (Sent from my BlackBerry) ----- Original Message ----- From: r-sig-finance-bounces at stat.math.ethz.ch <r-sig-finance-bounces at stat.math.ethz.ch> To: r-help <R-help at stat.math.ethz.ch>; r-sig-finance at stat.math.ethz.ch <r-sig-finance at stat.math.ethz.ch> Sent: Wed Apr 02 06:49:54 2008

Does someone have confirmatory factor analysis program in R,which includes factor loading and some tests?thank you! -- View this message in context: http://r.789695.n4.nabble.com/confirmatory-factor-analysis-program-in-R-tp3386133p3386133.html Sent from the R help mailing list archive at Nabble.com.

I am a new user of the function sem in package sem and lavaan for structural equation modeling 1. I don?t know what is the difference between this function and CFA function, I know that cfa for confirmatory analysis but I don?t know what is the difference between confirmatory analysis and structural equation modeling in the package lavaan. 2. I have data that I want to analyse but I have some

In R software,does it have packages about confirmatory factor analysis in R software? 3Q -- View this message in context: http://r.789695.n4.nabble.com/confirmatory-factor-analysis-in-R-tp3347618p3347618.html Sent from the R help mailing list archive at Nabble.com.

Hi, as you can see in the topic, I am trying to fit a normal mixture distribution with the approach suggested by Hamilton (1991). Since I couldn't find any existing packages including the quasi-bayesian mle, I have to write my own function. Unfortunately, I have absolutely no experience in doing this. If you're not familiar with the QB-MLE, I attached the formula as pdf. The idea

I'm trying to use the source command to run commands from a file. For instance: source("do.R"), where do.R is a file in the same directory in which I am running R. The contents of do.R are: ls() print("hello") sum(y1) mean(y1) After source("do.R"), all I see is: > source("do.R") [1] "hello" I'm using the X11 version of R for

Hi Has anyone used R to conduct confirmatory factor analysis? This email pertains to use of SEM. For context consider an example: the basic idea is that there are a bunch of observables variables (say study habbits, amount of time reading in the bus, doing homework, helping other do homework, doing follow-up on errors etc.) and one believes that all these variables maybe measured by two or

Hi: I am doing a confirmatory factor analysis now. In the analysis, I have null hypothesis test which specify some special structure for the loading matrix. And the alternative is there is no such special structure. Then the log likelihood ratio test can be used. The problem I have is my data comes from a questionnaire and all the variables are discrete from 1 to 7, which makes the normality

Hello all, I'm trying to replicate a confirmatory factor analysis done in Amos. The idea is to compare a one-factor and a two-factor model. I get the following warning message when I run either model: "Could not compute QR decomposition of Hessian. Optimization probably did not converge." I have no idea what to do here. I believe posters reported the same problem. It seems

Apologies for cross-posting. Places are available in the following course: "Introduction to Bayesian Data Analysis using WinBUGS and R" Best Regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Introduction to Bayesian Data Analysis using WinBUGS and R Where: Linux Hotel, Essen-Horst, Germany

Dear list members, Apologies for cross-posting. Please, find below the information of an introductory Bayesian Data Analysis course with WinBUGS and R. If you have any question don't hesitate to contact me. Best regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Introduction to Bayesian Data Analysis using WinBUGS and R Where: Linux Hotel, Essen-Horst,

Workshop on Bayesian methods and WinBUGS *************************************** A two-day workshop on Bayesian methods is being held on Friday 3 - Saturday 4 February 2012 at the University of Sydney. This course is suitable for graduate students, academics, researchers and professionals who wish to introduce themselves in the application of Bayesian methods and the use of WinBUGS software.

Hi R-users, I have the following problem: I am trying to learn something about bayes methodology and started paying around bayesm package, but could not replicate the Conjunctive model's estimates as they appear in Rossi et al "Bayesian Statistics and Marketing", 2005, JWS, pages 264-265, Table CS4.4. I have downloaded in my working directory the documents from

Greetings: I am a relatively new user to R. I was wondering if anyone is familiar with MATLAB's far_g() function. If yes, is there an R equivalent to this? I would like to have the ability to input as my observation vector continuous values. I noticed that there was something close in R, sar_probit_mcmc(), but I can only use a binary vector as my observation vector. If my

Dear list members, Best greetings and apologies for cross-posting. There are available places for the course: "Bayesian Data Analysis with R and WinBUGS", please find the description of the course below. If you have any question don't hesitate to contact me. Best regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *Three days course in: Bayesian Data

Hi list, I'm performing a series of confirmatory factor analysis on different groupings of items from data collected with questionnaires. There are some missing values. For those sets with no missing values I call factanal(datamatrix,factors=n) where datamatrix is a table of all observations for the items under investigation. This call fails when there are missing values. help(factanal)

Dear list members, Apologies for cross-posting. Please, find below the information of two statistical courses with R: 1) Statistical Analysis with R 2) Bayesian Data Analysis with R and WinBUGS If you have any question don't hesitate to contact me. Best regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *Two days course in: Statistical Analysis with R *Where:

Looking for help with a project for the US Navy, requires knowledge of Bayesian Statistics, Bayesian Networks and Survival Analysis. Please respond with CV. Thanks. -- David Katz www.davidkatzconsulting.com [[alternative HTML version deleted]]

I am trying to calculate Bayesian Credible Intervals for a proportion (disease prevalence values to be more specific) and am having trouble using R to do this. I am working with ncredint() function but have not had success with it. Please help! Example: Positive samples = 3 Total sampled = 10 Prevalence = 0.3 pvec <- seq(1,10,by=1) npost = dbinom(pvec,10,prob=0.3, log=FALSE) ncredint(pvec,

Hi all, May i know does R has packages or code to run "Bayesian Relative Survival Analysis"? I have look through Bayesian Survival Analysis(2001) by Joseph George Ibrahim<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Joseph+George+Ibrahim%22>, Ming-Hui Chen<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Ming-Hui+Chen%22>, Debajyoti