sm2.2-6.0 package

Smoothing Methods for Nonparametric Regression and Density Estimation

sm.sigma

Estimation of the error standard deviation in nonparametric regression...

binning

Construct frequency table from raw data in 1, 2 or 3 dimensions.

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 densi...

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-internal

Internal sm functions

sm.ancova

Nonparametric analysis of covariance

sm.autoregression

Nonparametric estimation of the autoregression function

sm.binomial.bootstrap

Bootstrap goodness-of-fit test for a logistic regression model.

sm.binomial

Nonparametric logistic regression

sm.density.compare

Comparison of univariate density estimates

sm.density

Nonparametric density estimation in one, two or three dimensions.

sm.discontinuity

The detection of discontinuities in a regression curve or surface.

sm.monotonicity

A test of monotonicity in a regression curve.

sm.options

Set or return options of sm library

sm.pca

Smooth principal components analysis

sm.poisson.bootstrap

Bootstrap goodness-of-fit test for a Poisson regression model

sm.poisson

Nonparametric Poisson regression

sm

The sm package: summary information

sm.regression.autocor

Nonparametric regression with autocorrelated errors

sm.regression

Nonparametric regression with one or two covariates.

sm.rm

Nonparametric analysis of repeated measurements data

sm.script

Running a script associated to the sm library

sm.sigma2.compare

Comparison across two groups of the error standard deviation in nonpar...

sm.sphere

Nonparametric density estimation for spherical data.

sm.surface3d

Adding a regression surface to an rgl plot.

sm.survival

Nonparametric regression with survival data.

sm.ts.pdf

Nonparametric density estimation of stationary time series data

sm.variogram

Confidence intervals and tests based on smoothing an empirical variogr...

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

  • Maintainer: Adrian Bowman
  • License: GPL (>= 2)
  • Last published: 2024-02-17