Local Regression, Likelihood and Density Estimation.


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Documentation for package `locfit' version 1.1-9

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

-- 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.

-- D --

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 method for 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
knots Extraction of fit-point information from a Locfit object.

-- 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
lfbas User-specified basis functions for Locfit.
lfeval Extract Locfit Evaluation Structure.
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
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

-- P --

panel.locfit Locfit panel function
panel.xyplot.lf Locfit panel function
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
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 --

regband Bandwidth selectors for local regression.
residuals.locfit Fitted values for a `"locfit"' object.
right One-sided right smooth for a Locfit model.
rv Residual variance from a "locfit" object.

-- S --

scb Simultaneous Confidence Bands
sjpi Sheather-Jones Plug-in bandwidth criterion.
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
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