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...ted) and vector-valued random effects. - profile methods for variance parameters in mixed effect models. - helpful package vignettes. - implementation of core functions in C. Comments, critique, suggestions, wishes and contributions are always highly appreciated. Kind regards Rune -- Rune Haubo Bojesen Christensen PhD student, M.Sc. Eng. Phone: (+45) 45 25 33 63 Mail: rhbc at imm.dtu.dk DTU Informatics, Section for Statistics Technical University of Denmark, Build. 305, Room 122, DK-2800 Kgs. Lyngby, Denmark _______________________________________________ R-packages mailing list R-packages at...

...ted) and vector-valued random effects. - profile methods for variance parameters in mixed effect models. - helpful package vignettes. - implementation of core functions in C. Comments, critique, suggestions, wishes and contributions are always highly appreciated. Kind regards Rune -- Rune Haubo Bojesen Christensen PhD student, M.Sc. Eng. Phone: (+45) 45 25 33 63 Mail: rhbc at imm.dtu.dk DTU Informatics, Section for Statistics Technical University of Denmark, Build. 305, Room 122, DK-2800 Kgs. Lyngby, Denmark _______________________________________________ R-packages mailing list R-packages at...

Dear list members, I am estimating an ordinal generalized estimating equations (GEE) regression model on repeated measurements data. Is there any way (preferably in R) to test the proportional odds assumption of this model? Thanks in advance. Andreas [[alternative HTML version deleted]]

Dear list, I am fitting a logistic multi-level regression model and need to test the difference between the ordinary logistic regression from a glm() fit and the mixed effects fit from glmer(), basically I want to do a likelihood ratio test between the two fits. The data are like this: My outcome is a (1,0) for health status, I have several (1,0) dummy variables RURAL, SMOKE, DRINK, EMPLOYED,

Dear all, It appears that MASS::polr() and Design::lrm() return the same point estimates but different st.errs when fitting proportional odds models, grade<-c(4,4,2,4,3,2,3,1,3,3,2,2,3,3,2,4,2,4,5,2,1,4,1,2,5,3,4,2,2,1) score<-c(525,533,545,582,581,576,572,609,559,543,576,525,574,582,574,471,595, 557,557,584,599,517,649,584,463,591,488,563,553,549) library(MASS) library(Design)

Hello, I am trying to run an ordinal logistic regression (polr) using the package 'MASS'. I have successfully run other regression classes (glm, multinom) without much problem, but with the 'polr' class I get the following error: " Error in svd(X) : infinite or missing values in 'x' " which appears when I run the "summary" command. The data file is