lorad_standardize_estimation_sample: Transforms training sample using training sample means and...

In lorad: Lowest Radial Distance Method of Marginal Likelihood Estimation

Transforms training sample using training sample means and standard deviations

Description

Transforms training sample using training sample means and standard deviations

Usage

lorad_standardize_estimation_sample(standardinfo, y)

Arguments

standardinfo	List containing the log Jacobian of the standardization transformation, the inverse square root matrix, the column means, and rmax (the radial distance representing the edge of the working parameter space)
y	Data frame containing a column for each transformed model parameter in the estimation sample, with last column being the log kernel values

Value

A new data frame consisting of the standardized estimation sample with log kernel in last column

lorad documentation built on May 29, 2024, 1:30 a.m.