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sm (version 2.0-1)

kernel smoothing methods: Bowman & Azzalini (1997)

Description

This is software linked to the book `Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations' Oxford University Press.

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Version

Install

install.packages('sm')

Monthly Downloads

6,844

Version

2.0-1

License

GPL (version 2)

Maintainer

Brian Ripley

Last Published

February 17th, 2024

Functions in sm (2.0-1)

sm.ancova

Nonparametric analysis of covariance
nmise

mean integrated squared error for density estimation with normal data
sm-internal

Internal sm functions
sm.density.compare

Comparison of univariate density estimates
sm.options

Set or return options of sm library
ask

Ask data to be typed on the keyboard.
nnbr

nearest neighbour distances from data in one or two dimensions
sj

Sheather-Jones criterion for nonparametric density estimation
sm.binomial.bootstrap

Bootstrap goodness-of-fit test for a logistic regression model.
sm.script

Running a script associated to the sm library
sm.poisson

Nonparametric Poisson regression
hnorm

Normal optimal choice of smoothing parameter in density estimation
binning

Construct frequency table from raw data
nise

integrated squared error between a density estimate and a Normal density
sm.density

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

Nonparametric regression with autocorrelated errors
hcv

Cross-validatory choice of smoothing parameter
hsj

Sheather-Jones choice of smoothing parameter for density estimation
pause

Pause before continuing execution
sm.autoregression

Nonparametric estimation of the autoregression function
provide.data

Making data available as data.frame
sm.regression

Nonparametric regression with one or two covariates.
sm.poisson.bootstrap

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

Nonparametric logistic regression
sig.trace

A significance trace for a hypothesis test
sm.survival

Nonparametric regression with survival data.
cv

Cross-validation criterion for nonparametric density estimation
sm

The library sm: summary information
sm.rm

Nonparametric analysis of repeated measurements data
sm.sphere

Nonparametric density estimation for spherical data.
sm.ts.pdf

Nonparametric density estimation of stationary time series data
geyser

Old Faithful Geyser Data