logit and inverse logit (expit) functions

logit(x, low = 0, high = 1)

expit(alpha, low = 0, high = 1)

logitNormInfo(mean = 0, sd = 1, low = 0, high = 1, abs.tol = 1e-06, ...)

probitNormInfo(mean = 0, sd = 1, low = 0, high = 1, abs.tol = 1e-06, ...)

Arguments

x	Input value(s) in range [low,high] to translate -Inf to Inf
low	Lowest value in the range
high	Highest value in the range
alpha	Infinite value(s) to translate to range of [low, high]
mean	logit-scale mean
sd	logit-scale standard deviation
abs.tol	absolute accuracy requested.
...	other parameters passed to `integrate()`

Value

values from logit and expit

Details

logit is given by:

logit(p) = -log(1/p-1)

where:

p = x-low/high-low

expit is given by:

expit(p, low, high) = (high-low)/(1+exp(-alpha)) + low

The logitNormInfo() gives the mean, variance and coefficient of variability on the untransformed scale.

Examples


logit(0.25)
#> [1] -1.098612

expit(-1.09)
#> [1] 0.2516183

logitNormInfo(logit(0.25), sd = 0.1)
#>         mean          var           cv 
#> 0.2504672899 0.0003515538 0.0748591440 

logitNormInfo(logit(1, 0, 10), sd = 1, low = 0, high = 10)
#>      mean       var        cv 
#> 1.3386966 1.2662276 0.8405697