README.md

In DCSmooth: Nonparametric Regression and Bandwidth Selection for Spatial Models

DCSmooth

Overview

DCSmooth provides functions for fast nonparametric estimation of the trend surface of a functional or spatial model. Regression types included are kernel regression and local polynomial regression. An automatic bandwidth selector is included.

Installation

You can install the released version of DCSmooth from CRAN with:

install.packages("DCSmooth")

## Example

This basic example shows the two-dimensional estimation of a single gaussian peak
function (in `y.norm1`).


```r
library(DCSmooth)

# simulated data
y = y.norm1 + matrix(rnorm(101^2), nrow = 101, ncol = 101)

# smooth trend surface
y_dcs = dcs(y)
plot(y_dcs, plot_choice = 2)

# surface.dcs(y_dcs, plot_choice = 2)

Details

For a detailed description, see the vignette of this package.

vignette("DCSmooth")

DCSmooth documentation built on Oct. 21, 2021, 5:07 p.m.