| Spline.fit {npmlda} | R Documentation | 
Polynomial-spline fit with equally-spaced knots
Description
Polynomial-spline fit with equally-spaced knots
Usage
Spline.fit(Xint, Xvec, Yvec, nKnots = 2, Degree = 3, Wt = 1)
Arguments
Xint | 
 a vector of x interval to generate the local linear fit  | 
Xvec, Yvec | 
 numeric vectors of data values, Xvec and Yvec must have the same length.  | 
nKnots | 
 number of equally-spaced knots  | 
Degree | 
 degree of polynomial splines  | 
Wt | 
 a weight vector or a constant. 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.
[Package npmlda version 1.0.0 Index]