sm v2.2-5.4


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by Adrian Bowman

Smoothing methods for nonparametric regression and density estimation

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

Functions in sm

Name Description
nile Water level of the River Nile
geys3d Duration and the time between eruptions for the Old Faithful Geyser
nmise mean integrated squared error for density estimation with normal data
mackerel The abundance of mackerel eggs
nise Integrated squared error between a density estimate and a Normal density
birth Low birthweight in babies Making data available as data.frame
follicle Ovarian follicle counts
sm.autoregression Nonparametric estimation of the autoregression function
sm.rm Nonparametric analysis of repeated measurements data
hcv Cross-validatory choice of smoothing parameter
hnorm Normal optimal choice of smoothing parameter in density estimation Comparison of univariate density estimates
hsj Sheather-Jones choice of smoothing parameter for density estimation
aircraft These data record six characteristics of aircraft designs which appeared during the twentieth century
sm-internal Internal sm functions
muscle Rat skeletal muscles
magrem Magnetic remanence
citrate The relationship between plasma citrate and carbohydrate metabolites
poles Positions of the south pole
stanford Survival times from the Stanford Heart Transplant Study
sm.survival Nonparametric regression with survival data.
sm.density Nonparametric density estimation in one, two or three dimensions.
nnbr nearest neighbour distances from data in one or two dimensions
lcancer Spatial positions of cases of laryngeal cancer
sm.regression.autocor Nonparametric regression with autocorrelated errors
bissell Flaws in cloth
dogs Coronary sinus potassium in dogs
sm.options Set or return options of sm library
sm.pca Smooth principal components analysis
worm Human parasitic worm infections Comparison across two groups of the error standard deviation in nonparametric regression with two covariates.
sm.ancova Nonparametric analysis of covariance
trout Potassium cyanate and trout eggs
airpc These data list the first two principal component scores from the aircraft data, which record six characteristics of aircraft designs throughout the twentieth century
sm The sm package: summary information
sm.binomial Nonparametric logistic regression Selection of the smoothing parameter
coalash Coal ash in mining samples
radioc Radiocarbon in Irish oak
sm.script Running a script associated to the sm library
trawl Trawl data from the Great Barrier Reef
sm.poisson.bootstrap Bootstrap goodness-of-fit test for a Poisson regression model
sig.trace A significance trace for a hypothesis test
sm.surface3d Adding a regression surface to an rgl plot.
tephra Tephra layer
sm.monotonicity A test of monotonicity in a regression curve.
sm.poisson Nonparametric Poisson regression
mosses Heavy metals in mosses in Galicia.
sm.variogram Confidence intervals and tests based on smoothing an empirical variogram.
wonions Yield-density relationship for White Imperial Spanish onion plants
sm.ts.pdf Nonparametric density estimation of stationary time series data
geyser Old Faithful Geyser Data
bonions Yield-density relationship for Brown Imperial Spanish onions
britpts Coastline of the UK and Ireland
sm.sphere Nonparametric density estimation for spherical data.
pause Pause before continuing execution
smacker Mackerel data from a Spanish survey
sm.discontinuity The detection of discontinuities in a regression curve or surface.
binning Construct frequency table from raw data
mildew Mildew control
sm.regression Nonparametric regression with one or two covariates.
sm.binomial.bootstrap Bootstrap goodness-of-fit test for a logistic regression model.
sm.sigma Estimation of the error standard deviation in nonparametric regression.
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Type Package
Date 2013-12-21
License GPL (>= 2)
LazyData TRUE
Packaged 2014-01-16 18:01:36 UTC; adrian
NeedsCompilation yes
Repository CRAN
Date/Publication 2014-01-16 20:20:26

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