I'd very much appreciate guidance on this. A user reported that the as.double() coercion used inside the .C() call for a function in my package (specifically, randomForest:::predict.randomForest()) is taking up significant amount of time when called repeatedly, and Removing some of these reduced run time by 30-40% in some cases. These arguments are components of the fitted model (thus do not change), and are matrices. Some basic tests show no difference in The result when the coercions are removed (other than faster run time). What I like to know is whether this is safe to do, or is it likely to lead to trouble in the future?
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