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Hello! I am using package "VAR". I've fitted my model: mymodel<-VAR(mydata,myp,type="const") I can extract the Log Liklihood for THE WHOLE MODEL: logLik(mymodel) How could I calculate (other than manually) the corresponding Akaike Information Criterion (AIC)? I tried AIC - but it does not take mymodel: AIC(mymodel) # numeric(0) Thank you! -- Dimitri Liakhovitski

Hello! I installed rJava and am trying to load it. library(rJava) Error : .onLoad failed in loadNamespace() for 'rJava', details: call: fun(libname, pkgname) error: No CurrentVersion entry in Software/JavaSoft registry! Try re-installing Java and make sure R and Java have matching architectures. Error: package or namespace load failed for ‘rJava’ Any idea why? Background info:

Hi all, I am trying to write a new function based on an existing function in "stats". This function requires to call a c program "C_BinDist". The new function couldn't work without load this c script. How can I find this "C_BinDist" function and load it to make my new function work through? Thanks, Dan [[alternative HTML version deleted]]