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sm (version 2.2-5.4)

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.

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Version

Install

install.packages('sm')

Monthly Downloads

12,414

Version

2.2-5.4

License

GPL (>= 2)

Maintainer

Adrian Bowman

Last Published

January 16th, 2014

Functions in sm (2.2-5.4)

Water level of the River Nile

Duration and the time between eruptions for the Old Faithful Geyser

mean integrated squared error for density estimation with normal data

The abundance of mackerel eggs

Integrated squared error between a density estimate and a Normal density

Low birthweight in babies

Making data available as data.frame

Ovarian follicle counts

sm.autoregression

Nonparametric estimation of the autoregression function

Nonparametric analysis of repeated measurements data

Cross-validatory choice of smoothing parameter

Normal optimal choice of smoothing parameter in density estimation

sm.density.compare

Comparison of univariate density estimates

Sheather-Jones choice of smoothing parameter for density estimation

These data record six characteristics of aircraft designs which appeared during the twentieth century

Internal sm functions

Rat skeletal muscles

Magnetic remanence

The relationship between plasma citrate and carbohydrate metabolites

Positions of the south pole

Survival times from the Stanford Heart Transplant Study

Nonparametric regression with survival data.

Nonparametric density estimation in one, two or three dimensions.

nearest neighbour distances from data in one or two dimensions

Spatial positions of cases of laryngeal cancer

sm.regression.autocor

Nonparametric regression with autocorrelated errors

Coronary sinus potassium in dogs

Set or return options of sm library

Smooth principal components analysis

Human parasitic worm infections

sm.sigma2.compare

Comparison across two groups of the error standard deviation in nonparametric regression with two covariates.

Nonparametric analysis of covariance

Potassium cyanate and trout eggs

These data list the first two principal component scores from the aircraft data, which record six characteristics of aircraft designs throughout the twentieth century

The sm package: summary information

Nonparametric logistic regression

Selection of the smoothing parameter

Coal ash in mining samples

Radiocarbon in Irish oak

Running a script associated to the sm library

Trawl data from the Great Barrier Reef

sm.poisson.bootstrap

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

A significance trace for a hypothesis test

Adding a regression surface to an rgl plot.

sm.monotonicity

A test of monotonicity in a regression curve.

Nonparametric Poisson regression

Heavy metals in mosses in Galicia.

Confidence intervals and tests based on smoothing an empirical variogram.

Yield-density relationship for White Imperial Spanish onion plants

Nonparametric density estimation of stationary time series data

Old Faithful Geyser Data

Yield-density relationship for Brown Imperial Spanish onions

Coastline of the UK and Ireland

Nonparametric density estimation for spherical data.

Pause before continuing execution

Mackerel data from a Spanish survey

sm.discontinuity

The detection of discontinuities in a regression curve or surface.

Construct frequency table from raw data

Nonparametric regression with one or two covariates.

sm.binomial.bootstrap

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

Estimation of the error standard deviation in nonparametric regression.