trimLogit: truncated-probabilities logit transformation
In ecpolley/SuperLearner_Old: Super Learner Prediction
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
computes the logit transformation on the truncated probabilities
Usage
1
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
Author(s)
Eric C Polley ecpolley@berkeley.edu
See Also
Examples
1
2
ecpolley/SuperLearner_Old documentation built on May 15, 2019, 10:08 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
computes the logit transformation on the truncated probabilities
Usage
1 | 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
Author(s)
Eric C Polley ecpolley@berkeley.edu
See Also
Examples
1 2 |
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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