paste_scaling: Wrap a data element of a linear predictor in scaling syntax

In JointAI: Joint Analysis and Imputation of Incomplete Data

Wrap a data element of a linear predictor in scaling syntax

Description

Identifies if a data element of a linear predictor should be scaled (based on whether scaling parameters are given) and then calls paste_scale().

Usage

paste_scaling(x, rows, scale_pars, scalemat)

Arguments

x	vector of character strings; to be scaled, typically matrix columns
rows	integer vector; row numbers of the matrix containing the scaling information
scale_pars	matrix containing the scaling information, with columns "center" and "scale"
scalemat	the name of the scaling matrix in the JAGS model (e.g. "spM_id")

Details

Calls paste_scale() on each element of x.

JointAI documentation built on April 27, 2023, 5:15 p.m.