logit-set: Logistic Transformation
In poissonconsulting/extras: Helper Functions for Bayesian Analyses
logit<- R Documentation
Logistic Transformation
Description
Logistic Transformation
Usage
logit(x) <- value
Arguments
x
An existing object.
value
A numeric atomic object of the value to
inverse logistically transform.
Details
A wrapper on stats::plogis(value).
Value
Called for the side effect of updating x.
See Also
Other translations:
exp10(),
exp2(),
fabs(),
ilog(),
ilog10(),
ilog2(),
ilogit(),
inv_logit(),
invlogit(),
log10<-(),
log2<-(),
log<-(),
logit(),
phi(),
pow(),
step()
Examples
x <- 1
logit(x) <- 0.5
x
poissonconsulting/extras documentation built on July 4, 2025, 3:26 p.m.
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| logit<- | R Documentation |
Logistic Transformation
Description
Logistic Transformation
Usage
logit(x) <- value
Arguments
x |
An existing object. |
value |
A numeric atomic object of the value to inverse logistically transform. |
Details
A wrapper on stats::plogis(value).
Value
Called for the side effect of updating x.
See Also
Other translations:
exp10(),
exp2(),
fabs(),
ilog(),
ilog10(),
ilog2(),
ilogit(),
inv_logit(),
invlogit(),
log10<-(),
log2<-(),
log<-(),
logit(),
phi(),
pow(),
step()
Examples
x <- 1
logit(x) <- 0.5
x
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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