Kind of, but these methods involve the models being computed automatically, and by pure fit statistics alone. I'd prefer to be able to specify the model blocks for comparison myself. If using linear regression as an example something like this:
model.1=lm(mpg~cyl, data=mtcars)
model.2=lm(mpg~cyl+disp, data=mtcars)
anova(model.1,model.2)