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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

461

Version

1.0-5

License

GPL (>= 2)

Maintainer

Wesley Burr

Last Published

August 28th, 2016

Functions in slp (1.0-5)

slp.gam

Generate a Basis Matrix for Discrete Prolate Spheroidal (Slepian) Sequences
basis

slp: Pre-computed basis sets
Predict.matrix.slp.smooth

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

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

slp: Discrete Prolate Spheroidal (Slepian) Sequence Regression Smoothers
slp.mgcv

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

Compute Discrete Prolate Spheroidal Sequences
slpSavedObjects

slp: Listing of available pre-computed basis sets