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slp

slp: Discrete Prolate Spheroidal (Slepian) Sequence Regression Smoothers (1.0-2)

Description

Interface for creation of 'slp' class smoother objects for use in Generalized Additive Models (e.g., packages 'gam' and 'mgcv').

References

Thomson, D.J (1982). Spectrum estimation and harmonic analysis. Proceedings of the IEEE Volume 70, number 9, pp. 1055--1096.

Hastie, T. J. (1991). Generalized additive models. Chapter 7 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth and Brooks/Cole.

Hastie, T. and Tibshirani, R. (1990). Generalized Additive Models. London: Chapman and Hall.

Wood, S.N. (2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society (B) 73(1):3-36

Wood, S.N. (2004). Stable and efficient multiple smoothing parameter estimation for generalized additive models. J. Amer. Statist. Ass. 99:673-686.

Wood, S.N. (2006). Generalized Additive Models: an introduction with R, CRC

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Version

Install

install.packages('slp')

Monthly Downloads

1,851

Version

1.0-3

License

GPL (>= 2)

Maintainer

Wesley Burr

Last Published

July 19th, 2014

Functions in slp (1.0-3)

Predict.matrix.slp.smooth

Create model matrix for prediction, for model using slp smoother
basis

slp: Pre-computed basis sets
checkSaved

Determine if combination of N, W and K is available on disk, or must be computed
slpSavedObjects

slp: Listing of available pre-computed basis sets
.dpss

Compute Discrete Prolate Spheroidal Sequences
slp.gam

Generate a Basis Matrix for Discrete Prolate Spheroidal (Slepian) Sequences
slp.mgcv

Generate a Basis Matrix for Discrete Prolate Spheroidal (Slepian) Sequences
slp-package

slp: Discrete Prolate Spheroidal (Slepian) Sequence Regression Smoothers