search for: ttv

...normally distributed and for which I need to build a model. So, I tried the lrm function from the design-package. The first run went well, and I got the following results: Wald Statistics Response: RVCL2PROC.mott Factor Chi-Square d.f. P TTV.mott (Factor+Higher Order Factors) 69.01 4 <.0001 All Interactions 12.13 3 0.0069 BEHANDLING (Factor+Higher Order Factors) 14.94 6 0.0208 All Interactions 12.13 3 0.0069 TTV.mott...

...produces empty output. If I run the data without the weights argument I get sensible output. Despite being possible in rpart, are case weights not possible in bagging? I know that weights are not possible in regression under randomforests. #this works r1w <- rpart(how_many ~ covariates, data=ttv.data.sk, weights, method="poisson") #this works b1 <- bagging(how_many ~ covariates, data=ttv.data.sk, method="poisson", coob=T, nbagg=30) #this fails b1w <- bagging(how_many ~ covariates, data=ttv.data.sk, weights, method="poisson", coob=T, nbagg=30) thanks i...