Compare bivariate kde results with pseudoRes

Hi guys, I'm processing data for a kernel bivariate probability distribution (kde) and I'm trying to use the pseudoRes function but the following error:

*Error in pseudoRes(df):*
***   'm' must be a momentuHMM, HMMfits, miHMM, 
or miSum object (as output by fitHMM, MIfitHMM, 
or MIpool)***

df is a dataframe.
How do I transform my kde results to use the pseudoRes function?


This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.