scpm (version 2.0.0)

An R Package for Spatial Smoothing

Description

Group of functions for spatial smoothing using cubic splines and variogram maximum likelihood estimation. Also allow the inclusion of linear parametric terms and change-points for segmented smoothing splines models.

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Version

Install

install.packages('scpm')

Monthly Downloads

Version

2.0.0

License

GPL (>= 2)

Maintainer

Mario Martinez Araya

Last Published

February 17th, 2020

Functions in scpm (2.0.0)

sssFit-class

Class "sssFit"

A4. Define bivariate Spline

Convert an object to the class sss for spatial smoothing splines

landim1

geoR's landim1 dataset

scpm-package

'An R Package for Spatial Smoothing'

A3. Define unknown changes

Changes in the pattern of response

B1. Testing surface

Testing the surface model

A6. Obtain approximation

Linear approximation to a spline.

A5. Estimate the model

Spatial smoothing with unknown changes in the pattern of response

A2. Define linear terms

Linear components of the mean of the model

B4. Information criterion

Information criterion of the estimated model from scp object.

B3. Summary

Summary of the estimated model from scp object.

B5. Variogram

Compute and plot the semi-variogram from scp object.

B2. Plotting

Plot observed, fitted values or estimated spline from scp object.