R Output Interpretation

Hi all,

First time poster and a novice with this stuff so please go easy! Although I would really appreciate some help.

I have been given a model that looks at the relationship between two variables from 70s to 2014, it uses a deterministic time varying coefficient (DTVC) model weighted with a Gaussian kernel and the code produces various different graphs.
Now I have used Stata before but R is brand new to me.

I am sorry for such an amateur question although I don’t simply dontrecognise what each shortened name means along with its exact function.


beta-NOint -


corr -

grang1 -

So if someone could please shed some light on each outputs function, you would be a life saver!