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Hello R-Users: I am want to use tobit regression for left censored panel/longitudinal data. Could you please provide me the name of "library" and/or "package" that will give me option of fitting tobit regression model for longitudinal data? Thank you. Sattar __________________________________________________ [[alternative HTML version deleted]]

...LSE) > se=sqrt(diag(Vcov)) > beta (Intercept) race steroid psi sofa apache 5.826489820 -0.001920670 -0.242040171 0.005293996 0.075468340 0.009245152 > se [1] 0.108325229 0.058921371 0.055975547 0.001285687 0.018119089 0.002559902 Best Regards, Sattar ____________________________________________________________________________________ , and more! [[alternative HTML version deleted]]

...mod, and hence is not recommended to use.” Now my question is, is there any other package you know that might allow me to fit GEE with weight option and the results would be same as SAS PROC GENMOD with weights? Any help would be sincerely appreciated. Thank you very much. Sincerely, Abdus Sattar University of Pittsburgh Email: mas196@pitt.edu ____________________________________________________________________________________ It's here! Your new message! Get new email alerts with the free Yahoo! Toolbar. [[alternative HTML version deleted]]

...eed an URGENT help from you please! How can I see the "estfun" (empirical estimating function) and "df" (degree of freedom) from the following mixed-model please? (fm1 <- lmer2(Reaction ~ Days + (Days|Subject), sleepstudy)) Many thanks in advance for your kind help. Sattar ____________________________________________________________________________________ ews, photos & more. [[alternative HTML version deleted]]

...Loglik(intercept only)= -108964 Chisq= 22777 on 1 degrees of freedom, p= 0 (Loglikelihood assumes independent observations) Number of Newton-Raphson Iterations: 6 n=5820 (1180 observations deleted due to missingness) I would appreciate if any help you could provide please. Thank you. Sattar ____________________________________________________________________________________ [[alternative HTML version deleted]]

...e=0, weights=w) If I run these codes then I got the following error message, Error in survreg(Surv(y, y >= -5, type = "left") ~ x + : Invalid distribution object Does anybody can help me in identifying the error(s) in these code please? Advance thanks for your time. Abdus Sattar upsattar@yahoo.com ____________________________________________________________________________________ [[elided Yahoo spam]] [[alternative HTML version deleted]]

...unction or any other function? survreg(Surv(y, y>=0, type='left')~x, dist='gaussian', weight=w) Your suggestion or help could save me from breaking up this endeavor. I would really appreciate you if you could help me in figuring out the error in the approach. Sincerely, Sattar __________________________________________________ Do You http://mail.yahoo.com

...uot;estfun" If you could help me in finding these two quantities I would really appreciate it. NOTE, if it is not possible to find these quantities in lmer or lmer2, I would greatly appreciate if you could name a function which will provide these quantities for mixed models. Thank you. Sattar ____________________________________________________________________________________ [[alternative HTML version deleted]]

...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. Sincerely, Sattar ____________________________________________________________________________________ [[alternative HTML version deleted]]

...1891253 treatment 0.160940654 0.174823465 0.8474851 0.35726476 SOFA -0.024995782 0.044632439 0.3136406 0.57545474 PSI 0.006562448 0.003313452 3.9225669 0.04764208 If you could help me by answering these questions, I would really appreciate your help. Sincere thanks, Sattar ____________________________________________________________________________________ Looking for earth-friendly autos? Browse Top Cars by "Green Rating" at Yahoo! Autos' Green Center. [[alternative HTML version deleted]]