search for: betar

...calculé (sorry for the french version, I don't know how to get the message english translation in R). My first assumption was this has *something to do with the dummy variable, so I skipped it*: struc.test <- breakpoints(y~x1+x2+x3+x3, data=D) *New error message:* Erreur dans if (max(abs((betar - fm$coefficients)/fm$coefficients)) < tol) check <- FALSE : valeur manquante là où TRUE / FALSE est requis I really can't understand what is going wrong. What 'tol' stands for? Seems it is not a 'breackpoints' attributes. Any help would greatly appreciated. Many than...

...ct on the Department per Culture type and the Year as fixed effect as well. The model takes the form?: *gam_tot <- gam (resp ~ Culture + Clust**er**:Culture + s(**Year**,k=4, by=Culture) + s(**X1**, by=Culture) + s(**X2**, by=Culture) + s(Depts, bs="re", by=Culture) * *, family=betar(link="logit"),method="REML",data=data,select=FALSE)* Then, I estimated the part of the model explained deviance provided by each covariate. For that, I run the model without the given covariate (keeping smooth parameters constant between models), and compute the difference...

...ear as fixed effect > as well. > > > The model takes the form : > > > *gam_tot <- gam (resp ~ Culture + Clust**er**:Culture + s(**Year**,k=4, > by=Culture) + s(**X1**, by=Culture) + s(**X2**, by=Culture) + s(Depts, > bs="re", by=Culture) * > > *, family=betar(link="logit"),method="REML",data=data,select=FALSE)* > > > Then, I estimated the part of the model explained deviance provided by > each covariate. For that, I run the model without the given covariate > (keeping smooth parameters constant between models), and com...