pred_g

Function to predict for new data based on fitted gam object.

Clusters longitudinal trajectories over time (can be unequally
spaced, unequal length time series and/or partially overlapping series) on
a common time axis. Performs k-means clustering on a single continuous
variable measured over time, where each mean is defined by a thin plate
spline fit to all points in a cluster. Distance is MSE across trajectory
points to cluster spline. Provides graphs of derived cluster splines,
silhouette plots, and Adjusted Rand Index evaluations of the number
of clusters. Scales well to large data with multicore parallelism available
to speed computation.

George Ostrouchov

clustra

Clustering Longitudinal Trajectories

David Gagnon

Hanna Gerlovin

Chen Wei-Chen

Schmidt Drew

Oak Ridge National Laboratory 

U.S. Department of Veteran's Affairs 

pred_g function

<dl><dt>tps</dt>
<dd>Output structure of <code><a href="/link/bam?package=clustra&version=0.2.1" data-mini-rdoc="clustra::bam">bam</a></code>.</dd>
<dt>newdata</dt>
<dd>See <code>clustra</code> description of data parameter.</dd></dl>

Arguments

Function to predict for new data based on fitted gam object. — pred_g

<dl>

<dt>tps</dt>
<dd>Output structure of <code><a href='https://rdrr.io/pkg/mgcv/man/bam.html'>bam</a></code>.</dd>


<dt>newdata</dt>
<dd>See <code>clustra</code> description of data parameter.</dd>

</dl>

pred_g: Function to predict for new data based on fitted gam object.

Description

Usage

Value

Arguments