Smoothing methods for nonparametric regression and density estimation

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Documentation for package `sm' version 2.1-0

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binning Construct frequency table from raw data
geyser Old Faithful Geyser Data
h.select Selection of the smoothing parameter
hcv Cross-validatory choice of smoothing parameter
hnorm Normal optimal choice of smoothing parameter in density estimation
hsj Sheather-Jones choice of smoothing parameter for density estimation
nise integrated squared error between a density estimate and a Normal density
nmise mean integrated squared error for density estimation with normal data
nnbr nearest neighbour distances from data in one or two dimensions
pause Pause before continuing execution
provide.data Making data available as data.frame
sig.trace A significance trace for a hypothesis test
sm The sm package: summary information
sm.ancova Nonparametric analysis of covariance
sm.autoregression Nonparametric estimation of the autoregression function
sm.binomial Nonparametric logistic regression
sm.binomial.bootstrap Bootstrap goodness-of-fit test for a logistic regression model.
sm.density Nonparametric density estimation in one, two or three dimensions.
sm.density.compare Comparison of univariate density estimates
sm.options Set or return options of sm library
sm.poisson Nonparametric Poisson regression
sm.poisson.bootstrap Bootstrap goodness-of-fit test for a Poisson regression model
sm.regression Nonparametric regression with one or two covariates.
sm.regression.autocor Nonparametric regression with autocorrelated errors
sm.rm Nonparametric analysis of repeated measurements data
sm.script Running a script associated to the sm library
sm.sphere Nonparametric density estimation for spherical data.
sm.survival Nonparametric regression with survival data.
sm.ts.pdf Nonparametric density estimation of stationary time series data