gbmC: boosting tree for imputation
In imputeR: A General Multivariate Imputation Framework

boosting tree for imputation

1	gbmC(x, y)

`x`	predictor matrix
`y`	response vector

a model object that can be used by the impute function and the best.iter for gbm model.

data(spect)
missdata <- SimIm(spect, 0.1)

impdata <- impute(spect, cFun = "gbmC")

imputeR documentation built on Jan. 21, 2020, 1:06 a.m.

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