getFpTransforms: Internal functions to handle FP transforms.

In bfp: Bayesian Fractional Polynomials

Internal functions to handle FP transforms.

Description

Transform a variable according to FP transformation formula and attach proper names to the resulting design matrix. The binary function bt is the Box-Tidwell transform.

Usage

'%bt%'(x, pow)
getFpTransforms(vec, powers, center=TRUE)
getTransformName(name, pow)

Arguments

x	numeric vector
pow	one single power (not vectorized in this argument)
vec	positive (== already shifted and scaled) column vector (!) with proper colname
powers	power vector with at least one element
center	should the columns be centered around zero? (default)
name	name of the covariate to be transformed with bt

Author(s)

Daniel Saban\'es Bov\'e

See Also

getDesignMatrix

Examples

bfp:::getFpTransforms(cbind(x=1:10), powers=c(-2, 0, 1))

bfp documentation built on Nov. 1, 2022, 1:05 a.m.