trimLogit: truncated-probabilities logit transformation
In SuperLearner: Super Learner Prediction
trimLogit R Documentation
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 documentation built on May 29, 2024, 5:25 a.m.
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| trimLogit | R Documentation |
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))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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