# Local Regression, Likelihood and Density Estimation

## Documentation for package ‘locfit’ version 1.5-9.4

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C D E F G H I K L M N P R S T X

## -- A --

aic | Compute Akaike's Information Criterion.
aicplot | Compute an AIC plot.
ais | Australian Institute of Sport Dataset
ang | Angular Term for a Locfit model.

## -- B --

bad | Example dataset for bandwidth selection
border | Cricket Batting Dataset

## -- C --

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.

## -- D --

dat | Locfit - data evaluation structure.
density.lf | Density estimation using Locfit
diab | Exhaust emissions

## -- E --

ethanol | Exhaust emissions
expit | Inverse logistic link function

## -- F --

fitted.locfit | Fitted values for a '"locfit"' object.
formula.locfit | Formula from a Locfit object.

## -- G --

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

## -- H --

hatmatrix | Weight diagrams and the hat matrix for a local regression model.
heart | Survival Times of Heart Transplant Recipients

## -- I --

insect | Insect Dataset
iris | Fisher's Iris Data (subset)

## -- K --

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

## -- L --

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.

## -- M --

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

## -- N --

none | Locfit Evaluation Structure

## -- P --

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.

## -- R --

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.

## -- S --

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.

## -- T --

trimod | Generated sample from a bivariate trimodal normal mixture

## -- X --

xbar | Locfit Evaluation Structure