randomForestInfJack: The infinitesimal jackknife for random forests
In swager/randomForestCI: Confidence Intervals for Random Forests

The infinitesimal jackknife for random forests

1	randomForestInfJack(rf, newdata, calibrate = TRUE)

`rf`	A random forest trained with replace = TRUE and keep.inbag = TRUE
`newdata`	A set of test points at which to evaluate standard errors
`calibrate`	whether to apply calibration to mitigate Monte Carlo noise warning: if calibrate = FALSE, some variance estimates may be negative due to Monte Carlo effects if the number of trees in rf is too small