# sm v2.2-5.4

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## 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 provide.data 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 sm.density.compare 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 sm.sigma2.compare 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 h.select 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. No Results!