Applies inverse logit (sigmoid or logistic) transformation
logit_inverse(x)
x | a vector of numbers |
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A vector ranging from 0 to 1
Inverse logit can be expressed as exp(x) / (1 + exp(x)) or 1 / (1 + exp(-x))
See https://hausetutorials.netlify.com/posts/2019-04-13-logistic-regression/#inverse-logit-and-logit-functions for intro to logit and inverse logit functions.
Hause Lin
logit_inverse(-5:5)#> [1] 0.006692851 0.017986210 0.047425873 0.119202922 0.268941421 0.500000000 #> [7] 0.731058579 0.880797078 0.952574127 0.982013790 0.993307149