FastImputation (version 2.2.1)

BoundNormalizedVariable: Take a normalized variable and transform it back to a bounded variable.

Description

This takes variables on the real line and constrains them to be on a half-line (constrained above or below) or a segment (constrained both above and below). This is approximately the inverse of NormalizeBoundedVariable; this does not completely reverse the effect of NormalizeBoundedVariable because NormalizeBoundedVariable first forces values away from the bounds, and this information is lost.

Usage

BoundNormalizedVariable(x, constraints)

Value

An object of the same class as x with the values transformed into the desired half-line or segment.

Arguments

x

A vector, matrix, array, or dataframe with value to be coerced into a range or set.

constraints

A list of constraints. See the examples below for formatting details.

Author

Stephen R. Haptonstahl

Examples

  constraints=list(lower=5)           # lower bound when constrining to an interval
  constraints=list(upper=10)          # upper bound when constraining to an interval
  constraints=list(lower=5, upper=10) # both lower and upper bounds