Package: locfit 1.5-9.10

locfit: Local Regression, Likelihood and Density Estimation

Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.

Authors:Catherine Loader [aut], Jiayang Sun [ctb], Lucent Technologies [cph], Andy Liaw [cre]

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NEWS

# Install 'locfit' in R:
install.packages('locfit', repos = c('https://andyliaw-mrk.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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
  • 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
  • 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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

9.06 score 1 stars 604 packages 428 scripts 75k downloads 35 mentions 55 exports 1 dependencies

Last updated 5 months agofrom:053aee672f. Checks:OK: 5 WARNING: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-win-x86_64OKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024
R-4.4-win-x86_64OKNov 22 2024
R-4.4-mac-x86_64WARNINGNov 22 2024
R-4.4-mac-aarch64WARNINGNov 22 2024
R-4.3-win-x86_64OKNov 22 2024
R-4.3-mac-x86_64WARNINGNov 22 2024
R-4.3-mac-aarch64WARNINGNov 22 2024

Exports:aicaicplotangcpcparcpplotcritcrit<-datdensity.lfexpitgam.lfgam.slistgcvgcvplothatmatrixkappa0kdebkm.mrllcvlcvplotleftlflfevallfgridlfknotslflimlfmarglocfitlocfit.censorlocfit.matrixlocfit.quasilocfit.rawlocfit.robustlplscvlscv.exactlscvplotnonepanel.locfitpanel.xyplot.lfplot.evalplotbyfactorrboxregbandrightrvrv<-scbsjpismooth.lfspence.15spence.21storexbar

Dependencies:lattice

Readme and manuals

Help Manual

Help pageTopics
Compute Akaike's Information Criterion.aic
Compute an AIC plot.aicplot
Australian Institute of Sport Datasetais
Angular Term for a Locfit model.ang
Example dataset for bandwidth selectionbad
Cricket Batting Datasetborder
Chemical Diabetes Datasetchemdiab
Claw Datasetclaw54
Example data set for classificationcldem
Test dataset for classificationcltest
Training dataset for classificationcltrain
Carbon Dioxide Datasetco2
Compute Mallows' Cp for local regression models.cp
Conditionally parametric term for a Locfit model.cpar
Compute a Cp plot.cpplot
Compute critical values for confidence intervals.crit crit<-
Locfit - data evaluation structure.dat
Density estimation using Locfitdensity.lf
Exhaust emissionsdiab
Exhaust emissionsethanol
Inverse logistic link functionexpit
Fitted values for a `"locfit"' object.fitted.locfit
Formula from a Locfit object.formula.locfit
Locfit call for Generalized Additive Modelsgam.lf
Vector of GAM special termsgam.slist
Compute generalized cross-validation statistic.gcv
Compute a generalized cross-validation plot.gcvplot
Old Faithful Geyser Datasetgeyser
Discrete Old Faithful Geyser Datasetgeyser.round
Weight diagrams and the hat matrix for a local regression model.hatmatrix
Survival Times of Heart Transplant Recipientsheart
Insect Datasetinsect
Fisher's Iris Data (subset)iris
Kangaroo skull measurements datasetkangaroo
Critical Values for Simultaneous Confidence Bands.kappa0
Bandwidth selectors for kernel density estimation.kdeb
Mean Residual Life using Kaplan-Meier estimatekm.mrl
Compute Likelihood Cross Validation Statistic.lcv
Compute the likelihood cross-validation plot.lcvplot
One-sided left smooth for a Locfit model.left
Locfit term in Additive Model formulalf
Extract Locfit Evaluation Structure.lfeval
Locfit - grid evaluation structure.lfgrid
Extraction of fit-point information from a Locfit object.lfknots
Construct Limit Vectors for Locfit fits.lflim
Generate grid margins.lfmarg
Add locfit line to existing plotlines.locfit llines.locfit
liver Metastases datasetlivmet
Local Regression, Likelihood and Density Estimation.locfit
Censored Local Regressionlocfit.censor
Reconstruct a Locfit model matrix.locfit.matrix
Local Quasi-Likelihood with global reweighting.locfit.quasi
Local Regression, Likelihood and Density Estimation.locfit.raw
Robust Local Regressionlocfit.robust
Local Polynomial Model Termlp
Least Squares Cross Validation Statistic.lscv
Exact LSCV Calculationlscv.exact
Compute the LSCV plot.lscvplot
Acc(De?)celeration of a Motorcycle Hitting a Wallmcyc
Fracture Counts in Coal Minesmine
Test dataset for minimax Local Regressionmmsamp
Henderson and Sheppard Mortality Datasetmorths
Locfit Evaluation Structurenone
Penny Thickness Datasetpenny
Plot evaluation points from a 2-d locfit object.plot.eval
Produce a cross-validation plot.plot.gcvplot
Plot a Locfit Evaluation Structure.plot.lfeval
Plot an object of class locfit.plot.locfit
Plot a one dimensional preplot.locfit object.plot.locfit.1d
Plot a two-dimensional "preplot.locfit" object.plot.locfit.2d
Plot a high-dimensional "preplot.locfit" object using trellis displays.plot.locfit.3d
Plot a "preplot.locfit" object.plot.preplot.locfit
Plot method for simultaneous confidence bandsplot.scb plot.scb.1d plot.scb.2d
x-y scatterplot, colored by levels of a factor.plotbyfactor
Add `locfit' points to existing plotpoints.locfit
Prediction from a Locfit object.predict.locfit
Prediction from a Locfit object.preplot.locfit
Prediction from a Locfit object.preplot.locfit.raw
Print method for gcvplot objectsprint.gcvplot
Print the Locfit Evaluation Points.print.lfeval
Print method for "locfit" object.print.locfit
Print method for preplot.locfit objects.print.preplot.locfit
Print method for simultaneous confidence bandsprint.scb
Print a Locfit summary object.print.summary.locfit
Local Regression, Likelihood and Density Estimation.rbox
Bandwidth selectors for local regression.regband
Fitted values and residuals for a Locfit object.residuals.locfit
One-sided right smooth for a Locfit model.right
Residual variance from a locfit object.rv
Substitute variance estimate on a locfit object.rv<-
Simultaneous Confidence Bandsscb
Sheather-Jones Plug-in bandwidth criterion.sjpi
Local Regression, Likelihood and Density Estimation.smooth.lf
Spencer's 15 point graduation rule.spence.15
Spencer's 21 point graduation rule.spence.21
Spencer's Mortality Datasetspencer
Stamp Thickness Datasetstamp
Save S functions.store
Summary method for a gcvplot structure.summary.gcvplot
Print method for a locfit object.summary.locfit
Summary method for a preplot.locfit object.summary.preplot.locfit
Generated sample from a bivariate trimodal normal mixturetrimod
Locfit Evaluation Structurexbar