recalib

character vector defining column name(s) of <code>x</code> data to be
recalibrated.

character vector defining column name(s) of <code>y</code> data to be
recalibrated.

factor defining <code>from</code> and <code>to</code> rows. If <code>NULL</code>
then recalibrate all rows.

dataframe containing <code>xc</code>, <code>yc</code> and <code>id</code>.

data

column names for replacement columns <code>xc</code>. If default
<code>NULL</code> then use names xcnew1... .

xcnew

column names for replacement columns <code>yc</code>. If default
<code>NULL</code> then use names ycnew1... .

ycnew

<code>sitar</code> model defining the random effects to be used for
recalibration.

model

level of <code>id</code> defining existing data (must be a single row
in <code>coef{model}</code>).

from

level of <code>id</code> defining data to be recalibrated (a single row
in <code>coef{model}</code>).


A function to recalibrate x,y data using SITAR random effects


Functions for fitting and plotting SITAR (Super Imposition by
Translation And Rotation) growth curve models. SITAR is a shape-invariant model
with a regression B-spline mean curve and subject-specific random effects on
both the measurement and age scales.

recalib: Recalibrate x, y data using SITAR random effects

Description

Usage

Arguments

Value

Details