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sm (version 2.0-4)

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

12,398

Version

2.0-4

License

GPL (version 2)

Maintainer

Brian Ripley

Last Published

February 17th, 2024

Functions in sm (2.0-4)

nmise

mean integrated squared error for density estimation with normal data
binning

Construct frequency table from raw data
sj

Sheather-Jones criterion for nonparametric density estimation
hsj

Sheather-Jones choice of smoothing parameter for density estimation
cv

Cross-validation criterion for nonparametric density estimation
provide.data

Making data available as data.frame
sm.ancova

Nonparametric analysis of covariance
sm.ts.pdf

Nonparametric density estimation of stationary time series data
nise

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

Running a script associated to the sm library
sm.poisson

Nonparametric Poisson regression
sm

The library sm: summary information
hcv

Cross-validatory choice of smoothing parameter
sm.binomial

Nonparametric logistic regression
sm.survival

Nonparametric regression with survival data.
sm.regression.autocor

Nonparametric regression with autocorrelated errors
hnorm

Normal optimal choice of smoothing parameter in density estimation
sm.rm

Nonparametric analysis of repeated measurements data
sm.density

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

Set or return options of sm library
sig.trace

A significance trace for a hypothesis test
sm-internal

Internal sm functions
nnbr

nearest neighbour distances from data in one or two dimensions
pause

Pause before continuing execution
sm.autoregression

Nonparametric estimation of the autoregression function
sm.sphere

Nonparametric density estimation for spherical data.
sm.regression

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

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

Comparison of univariate density estimates
ask

Ask data to be typed on the keyboard.
sm.poisson.bootstrap

Bootstrap goodness-of-fit test for a Poisson regression model
geyser

Old Faithful Geyser Data