| fishery |
Fishery data. |
| flea |
Flea |
| forbes |
Forbes' data on air pressure in the Alps and the boiling point of water (Weisberg, 1985). |
| fsdalms.object |
Description of 'fsdalms' Objects |
| fsdalts.object |
Description of 'fsdalts' Objects |
| fsmeda.object |
Description of 'fsmeda.object' Objects |
| fsmmmdrs |
Performs random start monitoring of minimum Mahalanobis distance |
| fsmmmdrs.object |
Description of 'fsmmmdrs.object' Objects |
| fsmult |
Gives an automatic outlier detection procedure in multivariate analysis |
| fsmult.object |
Description of 'fsmult.object' Objects |
| fsr.object |
Description of 'fsr' Objects |
| fsrbase |
fsrbase: an automatic outlier detection procedure in linear regression |
| fsrbase.default |
fsrbase: an automatic outlier detection procedure in linear regression |
| fsrbase.formula |
fsrbase: an automatic outlier detection procedure in linear regression |
| fsreda.object |
Description of 'fsreda' Objects |
| FSReda_control |
Creates an 'FSReda_control' object |
| fsreg |
fsreg: an automatic outlier detection procedure in linear regression |
| fsreg.default |
fsreg: an automatic outlier detection procedure in linear regression |
| fsreg.formula |
fsreg: an automatic outlier detection procedure in linear regression |
| fsrfan |
Robust transformations for regression |
| fsrfan.default |
Robust transformations for regression |
| fsrfan.formula |
Robust transformations for regression |
| fsrfan.object |
Objects returned by the function 'fsrfan' |
| FSR_control |
Creates an 'FSR_control' object |
| M5data |
Mixture M5 Data. |
| malfwdplot |
Plots the trajectories of scaled Mahalanobis distances along the search |
| malindexplot |
Plots the trajectory of minimum Mahalanobis distance (mmd) |
| mdrplot |
Plots the trajectory of minimum deletion residual (mdr) |
| mmdplot |
Plots the trajectory of minimum Mahalanobis distance (mmd) |
| mmdrsplot |
Plots the trajectories of minimum Mahalanobis distances from different starting points |
| mmmult |
Computes MM estimators in multivariate analysis with auxiliary S-scale |
| mmmult.object |
Description of 'mmmult.object' Objects |
| mmmulteda.object |
Description of 'mmmulteda.object' Objects |
| mmreg.object |
Description of mmreg Objects |
| mmregeda.object |
Description of 'mmregeda' Objects |
| MMregeda_control |
Creates an 'MMregeda_control' object |
| MMreg_control |
Creates an 'MMreg_control' object |
| multiple_regression |
Multiple regression data showing the effect of masking (Atkinson and Riani, 2000). |
| mussels |
Mussels data. |
| myrng |
Set seed for the MATLAB random number generator |
| plot.fsrfan |
Robust transformations for regression |
| poison |
Poison |
| print.fsdalms |
fsreg: an automatic outlier detection procedure in linear regression |
| print.fsdalts |
fsreg: an automatic outlier detection procedure in linear regression |
| print.fsr |
fsreg: an automatic outlier detection procedure in linear regression |
| print.fsreda |
fsreg: an automatic outlier detection procedure in linear regression |
| print.mmreg |
fsreg: an automatic outlier detection procedure in linear regression |
| print.mmregeda |
fsreg: an automatic outlier detection procedure in linear regression |
| print.sreg |
fsreg: an automatic outlier detection procedure in linear regression |
| print.sregeda |
fsreg: an automatic outlier detection procedure in linear regression |
| print.summary.fsdalms |
Summary Method for 'fsdalms' objects |
| print.summary.fsdalts |
Summary Method for 'fsdalts' objects |
| print.summary.fsr |
Summary Method for FSR objects |
| psifun |
Finds the tuning constant(s) associated to the supplied breakdown point or asymptotic efficiency for different psi functions |
| tclusteda.object |
Objects returned by the function 'tclustfsda' with the option 'monitoring=TRUE' |
| tclustfsda |
Computes trimmed clustering with scatter restrictions |
| tclustfsda.object |
Objects returned by the function 'tclustfsda' |
| tclustIC |
Performs cluster analysis by calling 'tclustfsda' for different number of groups 'k' and restriction factors 'c' |
| tclustic.object |
Objects returned by the function 'tclustIC' |
| tclustICplot |
Plots information criterion as a function of 'c' and 'k', based on the solutions obtained by 'tclustIC' |
| tclustICsol |
Extracts a set of best relevant solutions obtained by 'tclustIC' |
| tclusticsol.object |
Objects returned by the function 'tclustICsol' |
| tclustreg |
Computes robust linear grouping analysis |
| tclustreg.object |
Objects returned by the function 'tclustreg' |
| tclustregIC |
Computes 'tclustreg' for different number of groups 'k' and restriction factors 'c'. |