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...oc genmod, 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]]

..., scale=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]]

Dear R-Users: I am trying to find the robust (or sandwich) estimates of the standard error of fixed effects parameter estimates using the package "lmer2". In model-1, I used "robust=TRUE" on the other, in model-2, I used "robust=FALSE". Both models giving me the same estimates. So my question is, does the robust option works in lmer2 to get the robust estimates of

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]]

Hello EVERYONE, I need 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

Hi,?In your data file, the first row does not have an equal number of column like the rest of the row.Check your data file. Specially 1st row.?? Regards.............Tanvir Ahamed Stockholm, Sweden | mashranga at yahoo.com On Monday, 5 October 2020, 08:11:48 am GMT+2, Mir Md. Abdus Salam <mir.salam at uef.fi> wrote: Dear all, I need urgent help. I am a new user of R. I got the following error anovamine<-read.table("spike cu.txt",header=TRUE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings,? : line 1 did not have 9 elements...

Dear R-user: After the fitting the Tobit model using zelig, if I use the following command then I can get the regression coefficents: beta=coefficients(il6.out) > beta (Intercept) apache 4.7826 0.9655 How may I extract the "Naive SE" from the following output please? > summary(il6w.out) Call: zelig(formula = il6.data$il6 ~ il6.data$apache, model =

Dear all, I need urgent help. I am a new user of R. I got the following error anovamine<-read.table("spike cu.txt",header=TRUE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 9 elements Can anybody please help me to solve this problem why I am getting such kind of error? Thanks [[alternative HTML version deleted]]

Hello R-users: Could you please tell me how can I extract the "df (degree of freedom)" and "estfun (estimating functions)" for the following lmer (or lmer2) model? wtd.mixed<-lmer(ddimer~race+steroid+psi+sofa+apache + (1|subject), method="ML", data=final, cluster="id", weights=w) I tried the following codes: - for the degree of freedom (erorr

Dear R users: I am using survreg for modeling left censored longitudinal data. When I am using the following code for fitting the tobit model I am getting some output with an warning message(highlighted with red color): > survreg(Surv(y, y>=0, type='left')~x + frailty(id), cytokine.data, weight=w, dist='gaussian', scale=1) Call: survreg(formula = Surv(y, y >= 0, type

Hello R-users: I am using "yags" for fitting GEE which is giving me the same result as "Proc GENMOD". Now I have couple of questions related to yags output. (By the way, someone told me to run the geeglm for the same analysis and I did run but did not get the same result as of genmod and don't know how to correct the geeglm codes so that all three will be same!)

Dear R-user: I have a left censored longitudinally measured data set with 4 variables such as sub (which is id), x (only covariate), y (repeatedly measured response) and w (weights) (note, ?-5? indicates the left censored value in the attached data set). I am using following R codes (?survival? library and ?survreg? package) for fitting a random effect tobit model for the left censored