Comments (5)
Thx Mark. I will add it very soon. One question: Would it be an option to add the OOB accuracies as an attribute to the data (so that the standard output interface does not change)? I am not yet sure which is more useful.
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Hi, yep attribute would be a great way to do it too. Either way, I'm not fussed.
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CRAN submission is closed until January 2, but until then you can try to install from github:
library(devtools)
install_github("mayer79/missRanger/release/missRanger")
library(missRanger)
irisWithNA <- generateNA(iris)
irisImputed <- missRanger(irisWithNA, pmm.k = 3, returnOOB = TRUE)
attr(irisImputed, "oob")
# Species Petal.Length Sepal.Length Petal.Width Sepal.Width
# 0.000000000 0.005397051 0.019491343 0.008372170 0.052749390
from missranger.
Great, works a treat. Sorry for the delay, end of year etc..
Cheers
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Now on CRAN
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Related Issues (20)
- Current use of OOB prediction in pmm HOT 1
- Is there any parallelization option? HOT 1
- Interface to specify variables to use/impute/ignore. HOT 3
- question on missRanger HOT 3
- allow syntactically wrong colum names like "bad name"
- Initial matrix prior to iterating HOT 1
- Why get "out of bag" error over 1? HOT 3
- Allow 'mtry' HOT 2
- add unit tests
- Matrix columns in data frame generate error in missRanger HOT 1
- Adding out-of-bag errors and convergence monitoring HOT 2
- Multiple imputation via bootstrapping rather than predictive mean matching HOT 1
- Question on missRanger and BRMS HOT 8
- Parallel & progress bars HOT 2
- How to test the accuracy of predictions? HOT 1
- How to save the trained Random Forest model and use it to impute new data set? HOT 1
- missRanger as.character(formula) might fail with long formulas HOT 3
- More granular control over which cells get imputed HOT 3
- Consistent as.character(formula)==3L error HOT 4
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