Usage
Dvine(data,K=8,lambda=100,order.Dvine=TRUE,pen=1,base="Bernstein",m=2,cores=NULL,q=2)
Arguments
data
'data' contains the data. 'data' has to be a matrix or a
data.frame with two columns.
K
K is the degree of the Bernstein polynomials. In the case of
linear B-spline basis functions, K+1 nodes are used for the basis functions.
lambda
Starting value for lambda, default is lambda=100.
order.Dvine
Indicating if the first level of the Dvine is
ordered, default (order.Dvine=TRUE).
pen
'pen' indicates the used penalty. 'pen=1' for the
difference penalty of m-th order. 'pen=2' is only implemented for
Bernstein polynomials, it is the penalty based
on the integrated squared second order derivatives of the Bernstein polynomials.
base
Type of basis function, default is
"Bernstein". An alternative is base="B-spline".
m
Indicating the order of differences to be penalised. Default is "m=2".
cores
Default=NULL, the number of cpu cores used for parallel computing can be specified.
q
Order of B-splines. Default is q=2, NULL if Bernstein polynomials are used.