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...________________________ Dae-Jin Lee Office/Despacho: 7.3.J04 Phone/Tlfno:+34 91 624 9175 Fax: +34 91 624 9430 Departamento de Estadística Av. Universidad 30, Ed. Juan Benet 28911 Leganés (Madrid), SPAIN Universidad Carlos III de Madrid e-mail: dae-jin.lee@uc3m.es web: http://www.est.uc3m.es/daejin __________________________________ [[alternative HTML version deleted]]

Hi all ! I've been trying to maximize a likelihood using optim( ) function, but it seems that the function has several local maxima. I've tried in my algorithm with different starting values and depending on them "optim" obtains different results... I use the "L-BFGS-B" method setting the lower values as 1e-06, because my parameters must be strictly positive. Also

..., Dae-Jin -- __________________________________ Dae-Jin Lee Despacho: 7.3.J04 Tlfno: 91 624 9175 Fax: 91 624 9430 Departamento de Estadística Av. Universidad 30, Ed. Juan Benet 28911 Leganés (Madrid) Universidad Carlos III de Madrid e-mail: dae-jin.lee@uc3m.es web: http://www.est.uc3m.es/daejin __________________________________ [[alternative HTML version deleted]]

Dear R-users I'm trying to use lasso in lars package for subset regression, I have a large matrix of size 1000x100 and my aim is to select a subset k of the 100 variables. Is there any way in lars to fix the number k (i.e. to select the best 10 variables) library(lars) aa=lars(X,Y,type="lasso",max.steps=200) plot(aa,plottype="Cp") aa$RSS which.min(aa$RSS)

Hi all I am trying to solve a combinatorial optimization problem. Basically, I can reduce my problem into the next problem: 1.- Given a NxN grid of points, with some values in each cell 2.- Find the combination of K points on the grid such that, the maximum mean value is obtained I took the Travel SalesMan problem example in ?optim documentation. I am not sure if I have understood correctly

Dear All 1) I'm fitting spatial CAR models using R2Winbugs and although everything seems to go reasonably well (or I think so) the next message appears from WINBUGS 1.4 window: gen.inits() Command #Bugs: gen.inits cannot be executed (is greyed out) The question is if this message means that something is wrong and the results are consequently wrong, or Can I assume it as a simple warning

Hi all R users ! I'm using gamm function from Simon Wood's mgcv package, to fit a spatial regression Generalized Additive Mixed Model, as covariates I have the geographical longitude and latitude locations of indexed data. I include a random effect for each district (dist) so the code is fit <- gamm(y~s(lon,lat,bs="tp", m=2)+offset(log(exp.)), random=list(dist=~1),