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sm (version 2.2-5.7.1)

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

10,438

Version

2.2-5.7.1

License

GPL (>= 2)

Maintainer

Adrian Bowman

Last Published

July 4th, 2022

Functions in sm (2.2-5.7.1)

Coronary sinus potassium in dogs

Yield-density relationship for Brown Imperial Spanish onions

The relationship between plasma citrate and carbohydrate metabolites

Coastline of the UK and Ireland

Coal ash in mining samples

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

Low birthweight in babies

Construct frequency table from raw data in 1, 2 or 3 dimensions.

Cross-validatory choice of smoothing parameter

Spatial positions of cases of laryngeal cancer

Sheather-Jones choice of smoothing parameter for density estimation

Water level of the River Nile

Normal optimal choice of smoothing parameter in density estimation

Rat skeletal muscles

Making data available as data.frame

Ovarian follicle counts

Positions of the south pole

The abundance of mackerel 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

Duration and the time between eruptions for the Old Faithful Geyser

Magnetic remanence

Heavy metals in mosses in Galicia.

sm.autoregression

Nonparametric estimation of the autoregression function

Nonparametric analysis of covariance

Nonparametric density estimation in one, two or three dimensions.

sm.density.compare

Comparison of univariate density estimates

Smooth principal components analysis

Set or return options of sm library

Old Faithful Geyser Data

Pause before continuing execution

nearest neighbour distances from data in one or two dimensions

Selection of the smoothing parameter

Internal sm functions

Nonparametric regression with one or two covariates.

sm.poisson.bootstrap

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

The sm package: summary information

Nonparametric Poisson regression

sm.regression.autocor

Nonparametric regression with autocorrelated errors

Estimation of the error standard deviation in nonparametric regression.

sm.sigma2.compare

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

sm.monotonicity

A test of monotonicity in a regression curve.

Nonparametric regression with survival data.

Nonparametric density estimation of stationary time series data

sm.discontinuity

The detection of discontinuities in a regression curve or surface.

Potassium cyanate and trout eggs

Trawl data from the Great Barrier Reef

Survival times from the Stanford Heart Transplant Study

Integrated squared error between a density estimate and a Normal density

mean integrated squared error for density estimation with normal data

Yield-density relationship for White Imperial Spanish onion plants

A significance trace for a hypothesis test

Nonparametric logistic regression

Radiocarbon in Irish oak

sm.binomial.bootstrap

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

Nonparametric density estimation for spherical data.

Nonparametric analysis of repeated measurements data

Human parasitic worm infections

Running a script associated to the sm library

Adding a regression surface to an rgl plot.

Confidence intervals and tests based on smoothing an empirical variogram.

Mackerel data from a Spanish survey