[R] optim with(out) box constraints!

Hello  R users, Does optimizing a function using optim with  method= "L-BFGS-B" and without box constraints lead to "L-BFGS" optimization in R?  [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mail

[R] error in replor: Results suspect!

Hello all, I am trying to fit a gee model using repolr and  I get a warning message  that Results suspect. >Warning message: > Note: In ogee(formula, data = , id =.,  :  Cgee  had an error (code= > 104).  Results suspect. I checked the  source code as Prof. Ripley advice in 2007  but th

[R] Find correlation in Clmm?

Hi all, I am trying to fit a random effect  model to categorical response variable using package "ordinal" /"clmm". How can I find the correlation between random effects (random intercept and random slope)   Thanks in advance  Ana [[alternative HTML version deleted]] _

[R] Error in mice

Hi all, I am imputing missingness of  90 columns  in a  data frame using mice. But "mice" gives back :  Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE,  :   too many (1100) weights Any idea to solve this error is welcome, Anera [[alternative HTML vers

[R] fit a copula

Hi all, I am trying to fit a copula to a data set  using fitMvdc. How can I take only parameter estimations related to copula? Cheers [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinf

[R] multivariate random variable

Dear All,   How can I generate multivariate random variable (not multivariate normal )   I am in urgent [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the post

[R] glmm for ordinal repeated measurement

Hi all,   I have data set with repeated measurement ordinal responses and I would like it using generalized linear mixed model.   Shall I use MCMCglmm packeage or I can use lme4 package?   waiting for  answer eagerly, [[alternative HTML version deleted]] _

[R] modeling repeated measurement ordinal responses

Hi all,   I have data set with repeated measurement ordinal responses and I would like it using generalized linear mixed model.   Shall I use MCMCglmm packeage or I can use lme4 package?   waiting for  answer eagerly, [[alternative HTML version deleted]] __

[R] error in ordgee

I am trying to used "ordgee" from "geepack" for an ordinal dataset. When I write the code it returns  "Warning message:In binomial(link) : use of binomial(link=link) is deprecated" , but the program runs.   >  fit <- ordgee(ordered(phy) ~ age+BMI++convert, id=id, data=newdata, >int.const=FALSE) W

[R] error in ordgee

  I am trying to used "ordgee" from "geepack" for an ordinal dataset. When I write the code it returns  "Warning message:In binomial(link) : use of binomial(link=link) is deprecated" , but the program runs. Even when I run your example for "ohio" and "respdis", it returns the same error. Please

[R] (no subject)

what is exactly difference between "gee", "geese", and "ordgee" [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posti