These help pages were initially prepared for Locfit in R.
For S and S-Plus users, the data()
statements in many examples are unnecessary.
| aic |
Compute Akaike's Information Criterion.
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| aicplot |
Compute an AIC plot.
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| ais | Australian Institute of Sport Dataset |
| ang |
Angular Term for a Locfit model.
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| 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.
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| cpar |
Conditionally parametric term for a Locfit model.
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| cpplot |
Compute a Cp plot.
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| crit |
Compute critical values for confidence intervals.
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| crit<- |
Substitute critical values on "locfit" object.
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| density.lf |
Density estimation using Locfit
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| diab | Exhaust emissions |
| ethanol | Exhaust emissions |
| expit |
Inverse logistic link function
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| fitted.locfit |
Fitted values for a `"locfit"' object.
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| formula.locfit |
Formula from a Locfit object.
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| gam.lf |
Locfit call for Generalized Additive Models
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| gam.slist | Vector of GAM special terms |
| gcv |
Compute generalized cross-validation statistic.
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| gcvplot |
Compute a generalized cross-validation plot.
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| geyser | Old Faithful Geyser Dataset |
| geyser.round | Discrete Old Faithful Geyser Dataset |
| hatmatrix |
Weight diagrams and the hat matrix for a local regression model.
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| 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.
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| kdeb |
Bandwidth selectors for kernel density estimation.
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| km.mrl |
Mean Residual Life using Kaplan-Meier estimate
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| knots |
Extraction of fit-point information from a Locfit object.
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| lcv |
Compute Likelihood Cross Validation Statistic.
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| lcvplot |
Compute the likelihood cross-validation plot.
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| left |
One-sided left smooth for a Locfit model.
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| lf |
Locfit term in Additive Model formula
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| lfbas |
User-specified basis functions for Locfit.
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| lfeval |
Extract Locfit Evaluation Structure.
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| lflim |
Construct Limit Vectors for Locfit fits.
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| lfmarg |
Generate grid margins.
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| lines.locfit |
Add `locfit' line to existing plot
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| livmet | liver Metastases dataset |
| locfit |
Local Regression, Likelihood and Density Estimation.
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| locfit.censor |
Censored Local Regression
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| locfit.matrix |
Reconstruct a Locfit model matrix.
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| locfit.quasi |
Local Quasi-Likelihood with global reweighting.
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| locfit.raw |
Local Regression, Likelihood and Density Estimation.
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| locfit.robust |
Robust Local Regression
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| lscv |
Least Squares Cross Validation Statistic.
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| lscv.exact |
Exact LSCV Calculation
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| lscvplot |
Compute the LSCV plot.
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| 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 |
| panel.locfit |
Locfit panel function
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| panel.xyplot.lf |
Locfit panel function
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| penny | Penny Thickness Dataset |
| plot.eval |
Plot evaluation points from a 2-d locfit object.
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| plot.gcvplot |
Produce a cross-validation plot.
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| plot.lfeval |
Plot a Locfit Evaluation Structure.
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| plot.locfit.1d |
Plot a one dimensional "preplot.locfit" object.
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| plot.locfit.2d |
Plot a two-dimensional "preplot.locfit" object.
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| plot.locfit.3d |
Plot a high-dimensional "preplot.locfit" object using trellis displays.
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| plot.locfit |
Plot an object of class locfit.
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| plot.preplot.locfit |
Plot a "preplot.locfit" object.
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| plot.scb |
Plot method for simultaneous confidence bands
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| plotbyfactor |
x-y scatterplot, colored by levels of a factor.
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| points.locfit |
Add `locfit' points to existing plot
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| predict.locfit |
Prediction from a Locfit object.
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| preplot.locfit |
Prediction from a Locfit object.
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| preplot.locfit.raw |
Prediction from a Locfit object.
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| print.gcvplot |
Print method for gcvplot objects
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| print.lfeval |
Print the Locfit Evaluation Points.
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| print.locfit |
Print method for "locfit" object.
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| print.preplot.locfit |
Print method for preplot.locfit objects.
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| print.scb |
Print method for simultaneous confidence bands
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| print.summary.locfit |
Print a Locfit summary object.
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| regband |
Bandwidth selectors for local regression.
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| residuals.locfit |
Fitted values for a `"locfit"' object.
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| right |
One-sided right smooth for a Locfit model.
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| rv |
Residual variance from a "locfit" object.
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| rv<- |
Substitute variance estimate on a "locfit" object.
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| scb |
Simultaneous Confidence Bands
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| sjpi |
Sheather-Jones Plug-in bandwidth criterion.
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| spence.15 |
Spencer's 15 point graduation rule.
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| spence.21 |
Spencer's 21 point graduation rule.
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| spencer | Spencer's Mortality Dataset |
| stamp | Stamp Thickness Dataset |
| store |
Save S functions.
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| summary.gcvplot |
Summary method for a gcvplot structure.
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| summary.locfit |
Print method for a locfit object.
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| summary.preplot.locfit |
Summary method for a preplot.locfit object.
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| trimod | Generated sample from a bivariate trimodal normal mixture |