lambda2df | R Documentation |
The degree of roughness of an estimated function is controlled by a smoothing parameter $lambda$ that directly multiplies the penalty. However, it can be difficult to interpret or choose this value, and it is often easier to determine the roughness by choosing a value that is equivalent of the degrees of freedom used by the smoothing procedure. This function converts a multipler $lambda$ into a degrees of freedom value.
lambda2df(argvals, basisobj, wtvec=rep(1, n), Lfdobj=NULL, lambda=0)
argvals |
a vector containing the argument values used in the smooth of the data. |
basisobj |
the basis object used in the smoothing of the data. |
wtvec |
the weight vector, if any, that was used in the smoothing of the data. |
Lfdobj |
the linear differential operator object used to defining the roughness penalty employed in smoothing the data. |
lambda |
the smoothing parameter to be converted. |
the equivalent degrees of freedom value.
df2lambda
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