A B C D E F G H I K L M N P R S T X
aic | Compute Akaike's Information Criterion. |
aicplot | Compute an AIC plot. |
ais | Australian Institute of Sport Dataset |
ang | Angular Term for a Locfit model. |
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. |
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. |
dat | Locfit - data evaluation structure. |
density.lf | Density estimation using Locfit |
diab | Exhaust emissions |
ethanol | Exhaust emissions |
expit | Inverse logistic link function |
fitted.locfit | Fitted values for a '"locfit"' object. |
formula.locfit | Formula from a Locfit object. |
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 |
hatmatrix | Weight diagrams and the hat matrix for a local regression model. |
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. |
kdeb | Bandwidth selectors for kernel density estimation. |
km.mrl | Mean Residual Life using Kaplan-Meier estimate |
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. |
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 |
none | Locfit Evaluation Structure |
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. |
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. |
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. |
trimod | Generated sample from a bivariate trimodal normal mixture |
xbar | Locfit Evaluation Structure |