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sm (version 2.2-6.0)

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

13,563

Version

2.2-6.0

License

GPL (>= 2)

Maintainer

Last Published

February 17th, 2024

Functions in sm (2.2-6.0)

Sheather-Jones choice of smoothing parameter for density estimation

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

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

Low birthweight in babies

Duration and the time between eruptions for the Old Faithful Geyser

Ovarian follicle counts

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

Magnetic remanence

Integrated squared error between a density estimate and a Normal density

Coronary sinus potassium in dogs

Positions of the south pole

Old Faithful Geyser Data

Selection of the smoothing parameter

mean integrated squared error for density estimation with normal data

Cross-validatory choice of smoothing parameter

Spatial positions of cases of laryngeal cancer

Rat skeletal muscles

Making data available as data.frame

Radiocarbon in Irish oak

A significance trace for a hypothesis test

Nonparametric density estimation in one, two or three dimensions.

Heavy metals in mosses in Galicia.

nearest neighbour distances from data in one or two dimensions

Water level of the River Nile

Nonparametric regression with one or two covariates.

Pause before continuing execution

Internal sm functions

The sm package: summary information

Normal optimal choice of smoothing parameter in density estimation

sm.discontinuity

The detection of discontinuities in a regression curve or surface.

sm.density.compare

Comparison of univariate density estimates

sm.monotonicity

A test of monotonicity in a regression curve.

Nonparametric logistic regression

sm.regression.autocor

Nonparametric regression with autocorrelated errors

Nonparametric Poisson regression

Nonparametric analysis of repeated measurements data

Estimation of the error standard deviation in nonparametric regression.

sm.binomial.bootstrap

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

Survival times from the Stanford Heart Transplant Study

Nonparametric analysis of covariance

sm.sigma2.compare

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

sm.poisson.bootstrap

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

Running a script associated to the sm library

Nonparametric density estimation for spherical data.

Yield-density relationship for White Imperial Spanish onion plants

Adding a regression surface to an rgl plot.

sm.autoregression

Nonparametric estimation of the autoregression function

Human parasitic worm infections

Trawl data from the Great Barrier Reef

Set or return options of sm library

Nonparametric regression with survival data.

Smooth principal components analysis

Confidence intervals and tests based on smoothing an empirical variogram.

Nonparametric density estimation of stationary time series data

Potassium cyanate and trout eggs

Mackerel data from a Spanish survey

Coastline of the UK and Ireland

Yield-density relationship for Brown Imperial Spanish onions

The relationship between plasma citrate and carbohydrate metabolites

Coal ash in mining samples