mat.ncssvar

Calculates the variance matrix of the random effects for a 
 natural cubic smoothing spline. It is the tri-diagonal matrix 
 \(\bold{G}_s\) given by Verbyla et al., (1999) multiplied by 
 the variance component for the random spline effects.

array

design

The content falls into the following groupings: (i) Data, (ii)
Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v)
Matrix functions, (vi) Projector and canonical efficiency functions, and (vii)
Miscellaneous functions. There is a vignette describing how to use the
design functions for randomizing and assessing designs available as a
vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of
information when the 'Error' function has been used in the call to 'aov'.
The package 'dae' can also be installed from
<http://chris.brien.name/rpackages/>.

Chris Brien

Functions Useful in the Design and ANOVA of Experiments

mat.ncssvar function

<dl> <dt>sigma2s</dt>
<dd>A <code><a href="/link/numeric?package=dae&version=3.2.32" data-mini-rdoc="dae::numeric">numeric</a></code> giving the value of the variance component
 for the random spline effects. The smoothing parameter is then the inverse 
 of the ratio of this component to the residual variance.</dd> <dt>knot.points</dt>
<dd>A <code><a href="/link/numeric?package=dae&version=3.2.32" data-mini-rdoc="dae::numeric">numeric</a></code> giving the values of the knots point 
 used in fitting the spline. These must be orderd in increasing order.</dd> <dt>print</dt>
<dd>A <code><a href="/link/logical?package=dae&version=3.2.32" data-mini-rdoc="dae::logical">logical</a></code> indicating whether to print the matrix.</dd></dl>

Arguments

Author

Calculates the variance matrix of the random effects for a natural 
       cubic smoothing spline — mat.ncssvar

<dl>

 <dt>sigma2s</dt>
<dd>A <code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> giving the value of the variance component
 for the random spline effects. The smoothing parameter is then the inverse 
 of the ratio of this component to the residual variance.</dd>

 <dt>knot.points</dt>
<dd>A <code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> giving the values of the knots point 
 used in fitting the spline. These must be orderd in increasing order.</dd>

 <dt>print</dt>
<dd>A <code><a href='https://rdrr.io/r/base/logical.html'>logical</a></code> indicating whether to print the matrix.</dd>

</dl>

mat.ncssvar: Calculates the variance matrix of the random effects for a natural cubic smoothing spline

Description

Usage

Value

Arguments

Author

References

See Also

Examples