regressogram

a fitted joint mean covariance model of class "jmcmMod", i.e.,
typically the result of jmcm().

object

a vector of obeservation time points

time

Plot the sample regressograms based on the sample covariance
matrix and superimpose the corresponding fitted curves to check the model
fitting when the longitudinal dataset is balanced.

Fit joint mean-covariance models for longitudinal data. The models
and their components are represented using S4 classes and methods. The core
computational algorithms are implemented using the 'Armadillo' C++ library
for numerical linear algebra and 'RcppArmadillo' glue.

Jianxin Pan

jmcm

Joint Mean-Covariance Models using 'Armadillo' and S4

Yi Pan

regressogram function

<dl><dt>object</dt>
<dd>a fitted joint mean covariance model of class "jmcmMod", i.e.,
typically the result of jmcm().</dd>
<dt>time</dt>
<dd>a vector of obeservation time points</dd></dl>

Arguments

Plot Sample Regressograms and Fitted Curves — regressogram

<dl>

<dt>object</dt>
<dd>a fitted joint mean covariance model of class "jmcmMod", i.e.,
typically the result of jmcm().</dd>


<dt>time</dt>
<dd>a vector of obeservation time points</dd>

</dl>

regressogram: Plot Sample Regressograms and Fitted Curves

Description

Usage

Arguments

Examples