Description Usage Arguments References

Polynomial-spline fit with equally-spaced knots

1 | ```
Spline.fit(Xint, Xvec, Yvec, nKnots = 2, Degree = 3, Wt = 1)
``` |

`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. |

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

npmlda documentation built on Feb. 12, 2018, 5:01 p.m.

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