spsi: Shape-Preserving Uni-Variate and Bi-Variate Spline Interpolation

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Program uses method of polynomial of variable degrees to interpolate gridded data preserving monotonicity and/or convexity or none. Method is implemented for univariate and bivariate cases. If values of derivatives are provided, spline will fix them,if not program will estimate them numerically. Package written purely in R.

Author
Szymon Sacher & Andrew Clausen, The University of Edinburgh. Excerpts adapted from Fortran code Copyright (C) Paolo Costantini
Date of publication
2015-08-19 20:35:02
Maintainer
Szymon Sacher <s1340144@sms.ed.ac.uk>
License
GPL (>= 2.0)
Version
0.1

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Man pages

akima
Wave distortions data.
sps_eval
Evaluates spline on given points
sps_fun
Shape Preserving Bi-variate and Uni-variate Interpolation.
spsi-package
Shape Preserving Spline Interpolation
sps_prep
Prepare list of objects for shape preserving interpolation.

Files in this package

spsi
spsi/NAMESPACE
spsi/data
spsi/data/akima.rda
spsi/R
spsi/R/evaluation.R
spsi/R/derivcalculation.R
spsi/R/spsi.R
spsi/R/bivariate.R
spsi/R/univariate.R
spsi/MD5
spsi/DESCRIPTION
spsi/man
spsi/man/spsi-package.Rd
spsi/man/sps_eval.Rd
spsi/man/sps_fun.Rd
spsi/man/sps_prep.Rd
spsi/man/akima.Rd