Dear all,
I am puzzled by R's memory usage when calling the blackboost function from
package mboost to estimate a Gradient boosting model on a simulated dataset
with 20 correlated variables and 100,000 obs. The blackboost object created
by the function is only 15.3Mb, but R's memory usage increase
Hi,
I'm trying to impute a data set consisting of mixed type variables, mostly
logical, but also ordered and non-ordered factors, and numeric variables
with the missForest package. Although the help file of missForest states
that the resulting data matrix 'ximp' has the same type as the original d
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