Logistic and Inverse logistic functions
Inverse-logit function, transforms continuous values to the range (0, 1)
A vector of continuous values
The Inverse-logit function defined as: logit^-1(x) = e^x/(1+e^x) transforms continuous values to the range (0, 1), which is necessary, since probabilities must be between 0 and 1 and maps from the linear predictor to the probabilities
A vector of estimated probabilities
Andrew Gelman and Jennifer Hill. (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.
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