[R] Simulations of GAM and MARS models : sample size ; Y-outliers and missing X-data
@purd|e@@ @end|ng |rom gm@||@com
Sat Aug 10 01:12:09 CEST 2019
> For me better all the x variables (collectively), to have m% missing
I checked the mgcv documentation.
Observations with (any) missing values are ignored.
(i.e. The entire row, from your input data).
"If there are missing values in the reponse or covariates of a GAM then the
default is simply to use only the ‘complete cases’."
I haven't checked the ISLR package.
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