logit_scaled: Scaled logit-link
In paul-buerkner/brms: Bayesian Regression Models using 'Stan'
View source: R/numeric-helpers.R
logit_scaled R Documentation
Scaled logit-link
Description
Computes logit((x - lb) / (ub - lb))
Usage
logit_scaled(x, lb = 0, ub = 1)
Arguments
x
A numeric or complex vector.
lb
Lower bound defaulting to 0.
ub
Upper bound defaulting to 1.
Value
A numeric or complex vector.
paul-buerkner/brms documentation built on April 14, 2024, 5:39 p.m.
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View source: R/numeric-helpers.R
| logit_scaled | R Documentation |
Scaled logit-link
Description
Computes logit((x - lb) / (ub - lb))
Usage
logit_scaled(x, lb = 0, ub = 1)
Arguments
x |
A numeric or complex vector. |
lb |
Lower bound defaulting to |
ub |
Upper bound defaulting to |
Value
A numeric or complex vector.
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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