search for: lihood

Dear Sir\ Madam  I am trying to maximise a complicated loglikelihood function  via EM algorithm which consists of two step "E-step and M-step"and in this case I need to maximize the expected of like lihood function " which I get from E- step" and take those estimates of parameter to update the E-step and repate these till convargence has been...

-- begin included message -- Hi, but why we do the difference : ltemp <- 2 * diff(tfit $loglik[1:2]) ?? Where I can find information about Integrate Likelihooh and null like lihood?? --- end inclusion --- 1. Basic statistical fact: 2 * difference in loglik between two nested models = distributed as a chi-square distribution. For coxme loglik[1] = likelihood from a null model (all coefs =0). 2. In a random effects model the random terms are integrated out of the likel...

..., like in nofit1$var? I would like to know if my random effect is worth writing home about. Any help would be most appreciated Corey Sparks I can get the following output nofit1<-coxme(Surv(Age,cen1new)~ Sex+bo2+bo3,random=~1|isl, data=no1901) nofit1 Cox mixed-effects model fit by maximum likelihood Data: no1901 n=959 (2313 observations deleted due to missingness) Iterations= 3 69 NULL Integrated Penalized Log-likelihood -600.0795 -581.1718 -577.9682 Penalized loglik: chisq= 44.22 on 5.61 degrees of freedom, p= 4.3e-08 Integrated loglik: chisq= 37.82 on 4 degr...