| inv_logit {jSDM} | R Documentation |
Generalized inverse logit function
Description
Compute generalized inverse logit function.
Usage
inv_logit(x, min = 0, max = 1)
Arguments
x |
value(s) to be transformed |
min |
Lower end of logit interval |
max |
Upper end of logit interval |
Details
The generalized inverse logit function takes values on [-Inf,Inf] and transforms them to span [min, max] :
y = p' (max-min) + min
where
p =\frac{exp(x)}{(1+exp(x))}
Value
y Transformed value(s).
Author(s)
Gregory R. Warnes <greg@warnes.net>
Examples
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)
[Package jSDM version 0.2.6 Index]