Description Usage Arguments Details Value Functions References See Also Examples
Constructs a set of basis vectors for distances between distributed lag points, and apply as a linear transformation of a concentration matrix.
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x |
a vector of values to construct the basis from. Missing values are not allowed |
Z |
a covariate matrix (or object that can be coerced to a |
... |
arguments to be passed to |
These functions are little more than convenient
wrappers to the function basis
and the
SmoothLag
class constructor. They are intended to
simplify the task of specifying lag terms in a model formula
.
The functions compute a set of basis vectors for
parameter x
and applies this basis as a linear transformation
of the covariate/concentration matrix parameter, Z
. For example,
if cr
is used and Z
is the identity matrix,
the model fit will simply be the natural cubic spline of x
.
Note that other basis extensions should always return an object
that inherits from SmoothLag
An S4 object of class SmoothLag
.
cr
: natural cubic radial basis spline
sm
: user-defined smoothing
Rupert D, Wand MP, & Carroll RJ (2003) Semiparametric Regression. New York: Cambridge University Press.
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