Re: [R] lme correlation structures

: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Gareth Hughes Sent: Wednesday, June 27, 2007 7:50 AM To: r-help@stat.math.ethz.ch Subject: [R] lme correlation structures Hi all, I've been using SAS proc mixed to fit linear mixed models and would like to be able to fit the same models

[R] lme correlation structures

Hi all, I've been using SAS proc mixed to fit linear mixed models and would like to be able to fit the same models in R. Two things in particular: 1) I have longitudinal data and wish to allow for different repeated measures covariance parameter estimates for different groups (men and women),

[R] Score residuals

Hi- Is it possible to obtain the score residuals after fitting a Weibull model using Surv( ). Thanks in advance. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help

[R] ldcase residuals

Another Surv question: According to the reference given in R help(Escobar and Meeker), 'ldcase' approximates the change in minus twice the maximised log-likelihood on omission of each observation in turn. The maximum such residual is 1.26, but the actual likelihood displacement on omitting the

[R] coxph.control

How can I specify the maximum number of iterations in coxph whilst also specifying my model?? I can't find any on-line examples. Thanks __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help