CVspline function

Leave one-subject cross-validation score for spline fit

CVspline(Xvec, Yvec, ID, nKnots, Degree, Wt)

Arguments

• Xvec, Yvec: numeric vectors of data values, Xvec and Yvec must have the same length.
• ID: subject ID of the data value
• nKnots: number of equally-spaced knots
• Degree: degree of polynomial splines
• Wt: a weight vector. For longitudinal data, Wt=1/N corresponds to measurement uniform weight and Wt=1/(nni) corresponds subject uniform weight.

References

Wu, C.O. and Tian, X. Nonparametric Models for Longitudinal Data. Chapman & Hall/CRC. To appear.