logit | R Documentation |
The logit and invlogit functions, widely used in this package, are wrappers
of qlogis
and plogis
functions.
Functions eslogis
is the expected shortfall of the logistic function
(times a factor 2).
When p<=0.5
, it is equivalent (times -1) to the left tail mean ltmlogis
.
When p>0.5
, it is equivalent to the right tail mean rtmlogis
.
ltmlogis
and rtmlogis
are used to calculate the h
parameter
in hkiener1
, hkiener2
, hkiener3
, hkiener4
.
logit(p)
invlogit(x)
ltmlogis(p, m = 0, g = 1, lower.tail = TRUE, log.p = FALSE)
rtmlogis(p, m = 0, g = 1, lower.tail = TRUE, log.p = FALSE)
eslogis(p, m = 0, g = 1, lower.tail = TRUE, log.p = FALSE)
p |
numeric. one value or a vector between 0 and 1. |
x |
numeric. one value or a vector of numerics. |
m |
numeric. a central parameter (also used in model K1, K2, K3 and K4). |
g |
numeric. a scale parameter (also used in model K1, K2, K3 and K4). |
lower.tail |
logical. If TRUE, use p. If FALSE, use 1-p. |
log.p |
logical. If TRUE, probabilities p are given as log(p). |
logit
function is defined for p in (0, 1) by:
logit(p) = log( p/(1-p) )
invlogit
function is defined for x in (-Inf, +Inf) by:
invlogit(x) = exp(x)/(1+exp(x)) = plogis(x)
logit( c(ppoints(11, a = 1), NA, NaN) )
invlogit( c(-Inf, -10:10, +Inf, NA, NaN) )
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.