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These help pages were initially prepared for Locfit in R.
For S and S-Plus users, the data()
statements in many examples are unnecessary.
Locfit Fitting Functions
| density.lf |
Density estimation using Locfit
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| fitted.locfit |
Fitted values for a `"locfit"' object.
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| hatmatrix |
Weight diagrams and the hat matrix for a local regression model.
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| kappa0 |
Critical Values for Simultaneous Confidence Bands.
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| locfit.censor |
Censored Local Regression
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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 |
Local Regression, Likelihood and Density Estimation.
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| locfit.robust |
Robust Local Regression
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| scb |
Simultaneous Confidence Bands
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| smooth.lf |
Local Regression, Likelihood and Density Estimation.
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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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Locfit Model Formula Functions
| ang |
Angular Term for a Locfit model.
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| cpar |
Conditionally parametric term for a Locfit model.
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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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| left |
One-sided left smooth for a Locfit model.
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| lf |
Locfit term in Additive Model formula
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| locfit.matrix |
Reconstruct a Locfit model matrix.
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| right |
One-sided right smooth for a Locfit model.
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Model Building and Selection
| aicplot |
Compute an AIC plot.
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| aic |
Compute Akaike's Information Criterion.
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| cpplot |
Compute a Cp plot.
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| cp |
Compute Mallows' Cp for local regression models.
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| gcvplot |
Compute a generalized cross-validation plot.
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| gcv |
Compute generalized cross-validation statistic.
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| kdeb |
Bandwidth selectors for kernel density estimation.
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| lcvplot |
Compute the likelihood cross-validation plot.
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| lcv |
Compute Likelihood 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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| lscv |
Least Squares Cross Validation Statistic.
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| regband |
Bandwidth selectors for local regression.
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| sjpi |
Sheather-Jones Plug-in bandwidth criterion.
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Plot, Print, Summary methods
Datasets
| ais | Australian Institute of Sport Dataset |
| 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 |
| diab | Exhaust emissions |
| ethanol | Exhaust emissions |
| gam.slist | Vector of GAM special terms |
| geyser | Old Faithful Geyser Dataset |
| geyser.round | Discrete Old Faithful Geyser Dataset |
| heart | Survival Times of Heart Transplant Recipients |
| insect | Insect Dataset |
| iris | Fisher's Iris Data (subset) |
| kangaroo | Kangaroo skull measurements dataset |
| livmet | liver Metastases dataset |
| 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 |
| penny | Penny Thickness Dataset |
| spencer | Spencer's Mortality Dataset |
| stamp | Stamp Thickness Dataset |
| trimod | Generated sample from a bivariate trimodal normal mixture |
Other Functions
| crit<- |
Substitute critical values on "locfit" object.
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| crit |
Compute critical values for confidence intervals.
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| expit |
Inverse logistic link function
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| grid |
Local Regression, Likelihood and 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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| 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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| panel.locfit |
Locfit panel function
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| panel.xyplot.lf |
Locfit panel function
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| plotbyfactor |
x-y scatterplot, colored by levels of a factor.
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| plot.eval |
Plot evaluation points from a 2-d locfit object.
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| plot.lfeval |
Plot a Locfit Evaluation Structure.
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| plot.preplot.locfit |
Plot a "preplot.locfit" object.
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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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| print.lfeval |
Print the Locfit Evaluation Points.
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| rbox |
Local Regression, Likelihood and Density Estimation.
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| residuals.locfit |
Fitted values for a Locfit object.
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| rv<- |
Substitute variance estimate on a "locfit" object.
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| rv |
Residual variance from a "locfit" object.
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| store |
Save S functions.
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