Package sm

Detailed Description

Title:Smoothing methods for nonparametric regression and density estimation Description:This is software linked to the book `Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations' Oxford University Press.

Author:Adrian W. Bowman and Adelchi Azzalini. Ported to R by B. D. Ripley <ripley@stats.ox.ac.uk> up to version 2.0, later versions by Adrian W. Bowman and Adelchi Azzalini. Maintainer:Adrian W. Bowman <adrian@stats.gla.ac.uk> Version:2.1-0 Built:R 2.2.0; i486-pc-linux-gnu; 2005-11-10 01:01:35; unix Date:2005-10-28 Depends:R (>= 2.0.1) License:GPL (version 2) Packaged:Fri Nov 4 11:56:16 2005; adrian Suggests:akima, gam URL:http://www.stats.gla.ac.uk/~adrian/sm

h.select
Selection of the smoothing parameter

Last ouput from h.select(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/h.select/example.log

hcv
Cross-validatory choice of smoothing parameter

Last ouput from hcv(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/hcv/example.log

nmise
mean integrated squared error for density estimation with normal data

Last ouput from nmise(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/nmise/example.log

nnbr
nearest neighbour distances from data in one or two dimensions

Last ouput from nnbr(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/nnbr/example.log

sig.trace
A significance trace for a hypothesis test

Last ouput from sig.trace(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sig.trace/example.log

sm.ancova
Nonparametric analysis of covariance

Last ouput from sm.ancova(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.ancova/example.log

sm.density
Nonparametric density estimation in one, two or three dimensions.

Last ouput from sm.density(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.density/example.log

sm.density.compare
Comparison of univariate density estimates

Last ouput from sm.density.compare(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.density.compare/example.log

sm.poisson.bootstrap
Bootstrap goodness-of-fit test for a Poisson regression model

Last ouput from sm.poisson.bootstrap(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.poisson.bootstrap/example.log

sm.regression
Nonparametric regression with one or two covariates.

Last ouput from sm.regression(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.regression/example.log

sm.rm
Nonparametric analysis of repeated measurements data

Last ouput from sm.rm(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.rm/example.log

sm.sphere
Nonparametric density estimation for spherical data.

Last ouput from sm.sphere(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.sphere/example.log

sm.survival
Nonparametric regression with survival data.

Last ouput from sm.survival(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: sm/sm.survival/example.log

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