In newer versions of R (I have 3.6 and previously had 3.2), the stats::regularize.values function has been changed to have a default value of warn.collapsing as TRUE. This function is used in splinefun and several other interpolation functions in R. In a microsimulation model, I am using splinefun to smooth a large amount (n > 100,000) of data points of the form (x, f(x)). Here, x is a simulated vector of positive-valued scalers, and f(x) is some function of (x). With an n that large, there are often some replications of pseudo-randomly generated values (i.e., not all values of x are unique). My understanding is that splinefun gets rid of ties in the x values. That is not a problem for me, but, because of the new default, I get a warning message printed each time (below)
"In regularize.values(x, y, ties, missing(ties)) : collapsing to unique 'x' values"
Is there a way to either change the default of the warn.collapsing argument of the stats::regularize.values function back to F? Or can I somehow suppress that particular warning? This matters because it's embedded in a long microsimulation code and when I update it I often run into bugs. So I can't just ignore warning messages.
I tried using the formalize function. I was able to get the default arguments of stats::regularize.values printed, but when I tried to assign new values using the alist function it said there is no object 'stats'.