Local Regression, Likelihood and Density Estimation.

aic | Compute Akaike's Information Criterion. |

aicplot | Compute an AIC plot. |

ais | Australian Institute of Sport Dataset |

ang | Angular Term for a Locfit model. |

bad | Example dataset for bandwidth selection |

border | Cricket Batting Dataset |

chemdiab | Chemical Diabetes Dataset |

claw54 | Claw Dataset |

cldem | Example data set for classification |

cltest | Test dataset for classification |

cltrain | Training dataset for classification |

co2 | Carbon Dioxide Dataset |

cp | Compute Mallows' Cp for local regression models. |

cpar | Conditionally parametric term for a Locfit model. |

cpplot | Compute a Cp plot. |

crit | Compute critical values for confidence intervals. |

dat | Locfit - data evaluation structure. |

density.lf | Density estimation using Locfit |

diab | Exhaust emissions |

ethanol | Exhaust emissions |

expit | Inverse logistic link function |

fitted.locfit | Fitted values for a '"locfit"' object. |

formula.locfit | Formula from a Locfit object. |

gam.lf | Locfit call for Generalized Additive Models |

gam.slist | Vector of GAM special terms |

gcv | Compute generalized cross-validation statistic. |

gcvplot | Compute a generalized cross-validation plot. |

geyser | Old Faithful Geyser Dataset |

geyser.round | Discrete Old Faithful Geyser Dataset |

hatmatrix | Weight diagrams and the hat matrix for a local regression... |

heart | Survival Times of Heart Transplant Recipients |

insect | Insect Dataset |

iris | Fisher's Iris Data (subset) |

kangaroo | Kangaroo skull measurements dataset |

kappa0 | Critical Values for Simultaneous Confidence Bands. |

kdeb | Bandwidth selectors for kernel density estimation. |

km.mrl | Mean Residual Life using Kaplan-Meier estimate |

lcv | Compute Likelihood Cross Validation Statistic. |

lcvplot | Compute the likelihood cross-validation plot. |

left | One-sided left smooth for a Locfit model. |

lf | Locfit term in Additive Model formula |

lfeval | Extract Locfit Evaluation Structure. |

lfgrid | Locfit - grid evaluation structure. |

lfknots | Extraction of fit-point information from a Locfit object. |

lflim | Construct Limit Vectors for Locfit fits. |

lfmarg | Generate grid margins. |

lines.locfit | Add locfit line to existing plot |

livmet | liver Metastases dataset |

locfit | Local Regression, Likelihood and Density Estimation. |

locfit.censor | Censored Local Regression |

locfit.matrix | Reconstruct a Locfit model matrix. |

locfit.quasi | Local Quasi-Likelihood with global reweighting. |

locfit.raw | Local Regression, Likelihood and Density Estimation. |

locfit.robust | Robust Local Regression |

lp | Local Polynomial Model Term |

lscv | Least Squares Cross Validation Statistic. |

lscv.exact | Exact LSCV Calculation |

lscvplot | Compute the LSCV plot. |

mcyc | Acc(De?)celeration of a Motorcycle Hitting a Wall |

mine | Fracture Counts in Coal Mines |

mmsamp | Test dataset for minimax Local Regression |

morths | Henderson and Sheppard Mortality Dataset |

none | Locfit Evaluation Structure |

panel.locfit | Locfit panel function |

panel.xyplot.lf | Locfit panel function |

penny | Penny Thickness Dataset |

plotbyfactor | x-y scatterplot, colored by levels of a factor. |

plot.eval | Plot evaluation points from a 2-d locfit object. |

plot.gcvplot | Produce a cross-validation plot. |

plot.lfeval | Plot a Locfit Evaluation Structure. |

plot.locfit | Plot an object of class locfit. |

plot.locfit.1d | Plot a one dimensional preplot.locfit object. |

plot.locfit.2d | Plot a two-dimensional "preplot.locfit" object. |

plot.locfit.3d | Plot a high-dimensional "preplot.locfit" object using trellis... |

plot.preplot.locfit | Plot a "preplot.locfit" object. |

plot.scb | Plot method for simultaneous confidence bands |

points.locfit | Add 'locfit' points to existing plot |

predict.locfit | Prediction from a Locfit object. |

preplot.locfit | Prediction from a Locfit object. |

preplot.locfit.raw | Prediction from a Locfit object. |

print.gcvplot | Print method for gcvplot objects |

print.lfeval | Print the Locfit Evaluation Points. |

print.locfit | Print method for "locfit" object. |

print.preplot.locfit | Print method for preplot.locfit objects. |

print.scb | Print method for simultaneous confidence bands |

print.summary.locfit | Print a Locfit summary object. |

rbox | Local Regression, Likelihood and Density Estimation. |

regband | Bandwidth selectors for local regression. |

residuals.locfit | Fitted values and residuals for a Locfit object. |

right | One-sided right smooth for a Locfit model. |

rv | Residual variance from a locfit object. |

rva | Substitute variance estimate on a locfit object. |

scb | Simultaneous Confidence Bands |

sjpi | Sheather-Jones Plug-in bandwidth criterion. |

smooth.lf | Local Regression, Likelihood and Density Estimation. |

spence.15 | Spencer's 15 point graduation rule. |

spence.21 | Spencer's 21 point graduation rule. |

spencer | Spencer's Mortality Dataset |

stamp | Stamp Thickness Dataset |

store | Save S functions. |

summary.gcvplot | Summary method for a gcvplot structure. |

summary.locfit | Print method for a locfit object. |

summary.preplot.locfit | Summary method for a preplot.locfit object. |

trimod | Generated sample from a bivariate trimodal normal mixture |

xbar | Locfit Evaluation Structure |

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