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

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.

Version: 0.1
Depends: plot3D, R (≥ 2.10.0)
Published: 2015-08-19
Author: Szymon Sacher & Andrew Clausen, The University of Edinburgh. Excerpts adapted from Fortran code Copyright (C) Paolo Costantini
Maintainer: Szymon Sacher <s1340144 at sms.ed.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: spsi results

Documentation:

Reference manual: spsi.pdf

Downloads:

Package source: spsi_0.1.tar.gz
Windows binaries: r-devel: spsi_0.1.zip, r-release: spsi_0.1.zip, r-oldrel: spsi_0.1.zip
macOS binaries: r-release (arm64): spsi_0.1.tgz, r-oldrel (arm64): spsi_0.1.tgz, r-release (x86_64): spsi_0.1.tgz, r-oldrel (x86_64): spsi_0.1.tgz

Linking:

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