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A B C D E F G H I K L M N P R S T X
| 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. |
| 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 model. |
| 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 |
| llines.locfit | Add locfit line to existing plot |
| 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 |
| penny | Penny Thickness Dataset |
| 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 displays. |
| plot.preplot.locfit | Plot a "preplot.locfit" object. |
| plot.scb | Plot method for simultaneous confidence bands |
| plot.scb.1d | Plot method for simultaneous confidence bands |
| plot.scb.2d | Plot method for simultaneous confidence bands |
| plotbyfactor | x-y scatterplot, colored by levels of a factor. |
| 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. |
| rv<- | 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 |
| 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 |