Unable to fit model using “lrm.fit”
When I have problems like that I try the same fit using 'glm' and see what I get.
On Sun, May 27, 2012 at 1:53 PM, irena <irena.begaj at gmail.com> wrote:
Hi, I am running a logistic regression model using lrm library and I get the following error when I run the command: mod1 <- lrm(death ~ factor(score), x=T, y=T, data = env1) Unable to fit model using ?lrm.fit? where score is a numeric variable from 0 to 6. LRM executes fine for the following commands: mod1 <- lrm(death ~ score, x=T, y=T, data = env1) mod1<- lrm(death ~ ? ? ?factor(score)+ ? ? ? ? ? ? ? ? ? ? ? factor(var1)+factor(var2)+factor(var3)+ ? ? ? ? ? ? ? ? ? ? ? factor(var4)+factor(var5)+factor(var6)+ ? ? ? ? ? ? ? ? ? ? ? factor(var7), x=T, y=T, data = env1) I do not understand why I get the error. I have tried to use glm and it works perfectly fine. -- View this message in context: http://r.789695.n4.nabble.com/Unable-to-fit-model-using-lrm-fit-tp4631525.html Sent from the R help mailing list archive at Nabble.com.
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