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Compute generalized logit function.
logit(x, min = 0, max = 1)
y Transformed value(s).
value(s) to be transformed
Lower end of logit interval
Upper end of logit interval
Gregory R. Warnes <greg@warnes.net>
The generalized logit function takes values on \([min, max]\) and transforms them to span \([ -\infty, +\infty ]\) it is defined as: $$y = log(\frac{p}{(1-p)})$$ $$where$$ $$p=\frac{(x-min)}{(max-min)}$$
x <- seq(0,10, by=0.25) xt <- jSDM::logit(x, min=0, max=10) cbind(x,xt) y <- jSDM::inv_logit(xt, min=0, max=10) cbind(x,xt,y)
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