Local Regression, Likelihood and Density Estimation

Documentation for package ‘locfit’ version 1.5-9.9

Help Pages

-- 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 --

Generated sample from a bivariate trimodal normal mixture

-- X --

xbar	Locfit Evaluation Structure