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Full_Name: Daniel R Jeske Version: 1.8.1 OS: Windows 2000 Submission from: (NULL) (138.23.228.79) We have just noticed that when you use glm() it seems the logical output 'converged' is always TRUE. The same data set that shows FALSE in version 1.7.1 shows TRUE in 1.8.1. And I know that FALSE is the correct answer...so it seems like we cannot trust the 'converged' flag for

Hi, R users I am trying to use EM algorithmto estimate a latent class model of discrete choice. The basic model is a logit model which has two variables X=(X1,X2) and the utility is defined as v = Beta*X. There are 3 classes of individuals each has its own Beta values, so Beta is a 3*2 matrix. For each individual, (there are 1000), he make a choice between two randomly generated choice

...if it could be a problem related to my data. Thanks a lot Emanuela Rossi > fit_19_1<-coxph(Surv(DATA_INI1,DATA_FIN1,EVENT1)~ V1+V2+alt1+alt2+strata(autocorr1)+cap1+SP+SP2+SP3+SP3:log(DATA_FIN1)+D1500+D3000+D4500+frailty.gaussian(ID),data=SURV1) Warning messages: 1: Inner loop failed to coverge for iterations 1 3 in: coxpenal.fit(X, Y, strats, offset, init = init, control, weights = weights, 2: longer object length is not a multiple of shorter object length in: offset + coxfit$fcoef[x[, fcol]] 3: X matrix deemed to be singular; variable 8 in: coxph(Surv(DATA_INI1, DATA_FIN1, E...

...at 1 Iterations: 10 outer, 72 Newton-Raphson Variance of random effect= 12.1 I-likelihood = -20098.2 Degrees of freedom for terms= 0.5 0.4 1039.4 Likelihood ratio test=232877 on 1039 df, p=0 n=4840 (57 observations deleted due to missingness) Warning message: Inner loop failed to coverge for iterations 2 in: survpenal.fit(X, Y, weights, offset, init = init, controlvals = control, > Could you please help me in finding the error in my code (if any) so that I will not get this error message? I would really appreciate if you could help me in this regard. Thank you so much....

...468 M2: 0.005903" [5] "Theta= 100 org beta 0.4284 M1: 0.467735 M2: 0.48221" [6] "Theta= 100 org beta 0.5234 M1: 0.673852 M2: 0.683147" [1] "Theta = 100 proportion pred. M2 more accurate than M1 = 0.564" Warning message: Inner loop failed to coverge for iterations 2 3 in: coxpenal.fit(X, Y, strats, offset, init = init, control, weights = weights, > I don't understand the following: [1] The variance of the estimated individual frailty values is always much lower than both the original variance and the estimated variance of the rando...

Hi R users, I am using the optim funciton to maximize a log likelihood function. My code is as follows: p<-optim(c(-0.2392925,0.4653128,-0.8332286, 0.0657, -0.0031, -0.00245, 3.366, 0.5885, -0.00008, 0.0786,-0.00292,-0.00081, 3.266, -0.3632, -0.000049, 0.1856, 0.00394, -0.00193, -0.889, 0.5379, -0.000063, 0.213, 0.00338, -0.00026, -0.8912, -0.3023, -0.000056), f,