similar to: MCMC Estimation for Four Parametric Logistic (4PL) Item Response Model

I know of no existing functions for estimating the parameters of this model using MCMC or MML. Many years ago, I wrote code to estimate this model using marginal maximum likelihood. I wrote this based on the using nlminb and gauss-hermite quadrature points from statmod. I could not find that code to share with you, but I do have code for estimating the 3PL in this way and you could modify the

Dear Ma'am/Sir, This is Joy Mae C. Gabion taking up Masters of Science in Statistics at Mindanao State University ? Iligan Institute of Technology (MSU-IIT), Philippines. I?m currently working on my master?s thesis and chose to base it on the paper of Sun et.al (2012) which discussed the exact fast computation of band depth for large functional datasets. There are codes in Mathlab available

Please keep the list CC'd. In order to use the algorithms, I would assume you need to understand them. I hope you find it a productive challenge to express your understanding in code. Note that the article apparently spells out what you need very explicitly in pseudocode. If you really need to work from the Matlab example, there are many resources online that explain Matlab syntax and how to

Good day Ma'am/Sir, I am Resa Mae R. Sangco a Master of Statistics student from the MSU- Iligan Institute of Technology located in Iligan City, Philippines. I am currently doing my thesis entitled ?Bayesian Analysis in GJR-GARCH (p,d) model with Student-t innovations". In finding my posterior distribution since it is hard to integrate, I use Markov Chain Monte Carlo simulation

When installing asterisk, I follow de "Getting Started" manual and i get the following error while compilig asterisk: if [ -d CVS ] && ! [ -f .version ]; then echo CVS-HEAD-08/06/04-09:53:57 > .version; fi bison ast_expr.y --name-prefix=ast_yy -o ast_expr.c make: *** [ast_expr.c] broken pipe Just this, nothing else. Zaptel and Libpri installed without any problem and system

WinXP, Splus7 and R2.3.1. All, I have been using the SSfpl and SSlogis self-starting functions in the nlme library to fit 4PL and restricted 4PL models. I need to adapt these routines to fit the alternative model f(x) = A + (B-A)/(1 + abs(x/EC50)^C) My Question: How do I obtain good starting values for this alternative model? (The pseudo-code found on pages 517 - 520 of "Mixed

Fixes a build failure with mediatek. This change was supposed to be part of commit 49a3f51dfeee ("drm/gem: Use struct dma_buf_map in GEM vmap ops and convert GEM backends"), but mediatek was forgotten. Signed-off-by: Thomas Zimmermann <tzimmermann at suse.de> Fixes: 49a3f51dfeee ("drm/gem: Use struct dma_buf_map in GEM vmap ops and convert GEM backends") Cc: Thomas

I'm trying to do a sort of home-brew item-characteristic-curve. This is a plot of the probability of getting a test item correct, as a function of the mean score on the test. (The last part is the home brew part.) Logistic regression with glm would work nicely, EXCEPT for the fact that the curve requires a guessing parameter. So the asymptote on the left is not 0 but rather something like

We are seeking nominations for candidates for election to the X.Org Foundation Board of Directors. All X.Org Foundation members are eligible for election to the board. Nominations for the 2024 election are now open and will remain open until 23:59 UTC on 26 February 2024. The Board consists of directors elected from the membership. Each year, an election is held to bring the total number of

Se ha borrado un texto insertado con un juego de caracteres sin especificar... Nombre: no disponible Url: https://stat.ethz.ch/pipermail/r-help/attachments/20080321/71b93d3d/attachment.pl

Hi everyone, I've searched the mail archives and I haven't been able to find a solution to this. I want to subclass a MatchSpy in the Python bindings and have Enquire use it. However, when I try to do so, I get a TypeError raised. The following example illustrates this: >>> import xapian >>> database = xapian.Database(dbpath) >>> class

In the case of Search::Xapian 1.2.x and xapian-core 1.4.y, $msg is deliberately unset because the two versions should be compatible. Since this is intended to be an escape from this conditional, it should be respected by the AUTOMATED_TESTING check, so automated testing with compatible libraries doesn't nevertheless result in no Makefile. --- Makefile.PL | 2 +- 1 file changed, 1

> Thanks for spotting, applied in git. Where is the appropriate git repository? I looked but couldn't find it, so ended up just having to make my patch from the release. -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 832 bytes Desc: not available URL:

>> > Thanks for spotting, applied in git. >> >> Where is the appropriate git repository? > > Sorry, it's a bit obscure: > > https://git.xapian.org/?p=xapian;a=tree;f=search-xapian;hb=refs/heads/svn/1.2 I don't see my patch applied there -- what am I missing? > We've now retired the 1.2 release branch apart from this directory so > it perhaps

Please forgive if this question has been asked recently in this list. I've scanned some of the recent archives and the FAQ and haven't found the answer to my question. I'm taking a class on Elementary Stats, basic stuff, and I found R while looking for stats programs that run on Linux. The documentation seems to be fairly complete on the functions contained within R, but to be honest,

Hello, I'm struggling with an elementary problem with R. I have a simple data frame such as this one giving the number of accidents subdivided by sex, age and region. sex age region no_of_accidents F young north 10 F young south 12 F old north 5 F old south 7 M young north 24 M

I have some Bernoulli data something like this: x<-sort(runif(100,1,20)) p<-pnorm(x,10,3) y<-as.numeric(runif(x)<p) plot(x,y) lines(x,p) This plot is not very satisfactory because the ogive does not visually fit the (0,1) points very well, and also because the points tend to fall on top of one another. The second problem can be eliminated by adding vertical jitter. However I was

Dear useRs, I'm happy to announce a substantial update of package actuar that bumps the version number to 2.0-0. This release focuses on additional support for continuous and discrete distributions, new functions to simulate data from compound models and mixtures, and revised and improved documentation. A slightly shortened version of the NEWS file follows: NEW FEATURES ? Support for the

Dear useRs, I'm happy to announce a substantial update of package actuar that bumps the version number to 2.0-0. This release focuses on additional support for continuous and discrete distributions, new functions to simulate data from compound models and mixtures, and revised and improved documentation. A slightly shortened version of the NEWS file follows: NEW FEATURES ? Support for the

We would like to announce the following statistics course; Course: Introduction to Linear mixed effects models, GLMM and MCMC with R When: 10-14 February, 2014 Where: Pousada de juventude parque das nacoes. Rua de Moscavide, Lt 47 ? 101, 1998- 011. Lisbon, Portugal Info: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyer2014_02SIM_LisbonV2.pdf Kind regards,