kernel smoothing methods: Bowman & Azzalini (1997)

ask	Ask data to be typed on the keyboard.
binning	Construct frequency table from raw data
cv	Cross-validation criterion for nonparametric density estimation
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
sj	Sheather-Jones criterion for nonparametric density estimation
sm.ancova	Nonparametric analysis of covariance
sm.autoregression	Nonparametric estimation of the autoregression function
sm.density	Nonparametric density estimation in one, two or three dimensions.
sm.density.compare	Comparison of univariate density estimates
sm.logit	Nonparametric logistic regression
sm.logit.bootstrap	Bootstrap goodness-of-fit test for a logistic regression model.
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	Run or Lists Scripts in Package sm
sm.sigma	Estimation of the error standard deviation in nonparametric regression
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