CVspline: Leave one-subject cross-validation score for spline fit

Description Usage Arguments References

Description

Leave one-subject cross-validation score for spline fit

Usage

1
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.


npmlda documentation built on May 2, 2019, 12:54 a.m.

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