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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 |