SuperLearner: trimLogit – R documentation

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trimLogit

truncated-probabilities logit transformation

Description

computes the logit transformation on the truncated probabilities

Usage

trimLogit(x, trim = 1e-05)

Arguments

`x`	vector of probabilities.
`trim`	value to truncate probabilities at. Currently symmetric truncation (trim and 1-trim).

Value

logit transformed values

Examples

x <- c(0.00000001, 0.0001, 0.001, 0.01, 0.1, 0.3, 0.7, 0.9, 0.99, 
  0.999, 0.9999, 0.99999999)
trimLogit(x, trim = 0.001)
data.frame(Prob = x, Logit = qlogis(x), trimLogit = trimLogit(x, 0.001))

SuperLearner

Super Learner Prediction

v2.0-28

GPL-3

Authors

Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]

Initial release

2021-05-04