softplus: Compute softplus transform
In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
View source: R/HelperFunctions.R
softplus R Documentation
Compute softplus transform
Description
Computes the softplus transform, equivalent to the cumulant generating function
of a logistic regression model: \log(1+e^x).
Usage
softplus(x)
Arguments
x
Numeric vector to apply softplus to
Value
Softplus transformed vector
Examples
v <- runif(5)
softplus(v)
lgspline documentation built on May 8, 2026, 5:07 p.m.
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View source: R/HelperFunctions.R
| softplus | R Documentation |
Compute softplus transform
Description
Computes the softplus transform, equivalent to the cumulant generating function
of a logistic regression model: \log(1+e^x).
Usage
softplus(x)
Arguments
x |
Numeric vector to apply softplus to |
Value
Softplus transformed vector
Examples
v <- runif(5)
softplus(v)
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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