randomForestCI

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Standard error of transformed predictions using randomForestInfJack

2

I would like to get the standard error of predictions from a random forest trained on `y=log(x+1)` target. The `var.hat` returned by _randomForestInfJack_ is the variance of `y`, so `se=sqrt(var.hat)`....

lucazav

Interpolation problem

1

Hello, I am using your package to have confidence interval but i have a problem when I want to calibrate my variance. I get the error > Error in approx(x...

engie-elkhait-meine

prediction and variance for new data

4

I would like to obtain a variance estimate for a new observation (randomForestInfJack). An observation that was not in X, when creating the random forest (randomForest(X,Y,keep.inbag=T)). It is not clear...

MNRiverEcologyUnit

NAs produced when converting classification predictions to numeric

1

In the `infinitesimalJackknife.R` the following code is supposed to convert a classification prediction to numeric values: ``` predictions = predict(rf, newdata, predict.all = TRUE) pred = predictions$individual # in case...

mattmills49

Question about Classification

2

Hi Professor Wager, Thank you so much for your work. It has helped me a great deal. I have read in your paper (Wager, Hastie, Efron (2012)) that infinitesimal jackknife...

wjz19920811