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| carbikeplot | Produces the carbike plot to find best relevant clustering solutions obtained by 'tclustICsol' |
| corfwdplot | Monitoring the correlations between consecutive distances or residuals |
| covplot | Monitoring of the covariance matrix |
| diabetes | Diabetes data |
| emilia2001 | Demographic data from the 341 miniciplaities in Emilia Romagna (an Italian region). |
| fishery | Fishery data. |
| flea | Flea |
| 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 |
| 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.object | Objects returned by the function 'fsrfan' |
| FSR_control | Creates an 'FSR_control' object |
| geyser2 | Old Faithful Geyser Data. |
| hawkins | Hawkins data. |
| levfwdplot | Plots the trajectories of the monitored scaled (squared) residuals |
| loyalty | Loyalty data |
| LXS_control | Creates an 'LSX_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 |
| mussels | Mussels data. |
| 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 |
| regspmplot | Interactive scatterplot matrix for regression |
| resfwdplot | Plots the trajectories of the monitored scaled (squared) residuals |
| resindexplot | Plots the residuals from a regression analysis versus index number or any other variable |
| smult | Computes S estimators in multivariate analysis |
| smult.object | Description of 'smult.object' Objects |
| smulteda.object | Description of 'smulteda.object' Objects |
| spmplot | Interactive scatterplot matrix |
| sreg.object | Description of sreg Objects |
| sregeda.object | Description of 'sregeda' Objects |
| Sregeda_control | Creates an 'Sregeda_control' object |
| Sreg_control | Creates an 'Sreg_control' object |
| summary.fsdalms | Summary Method for 'fsdalms' objects |
| summary.fsdalts | Summary Method for 'fsdalts' objects |
| summary.fsr | Summary Method for FSR objects |
| swissbanknotes | Swiss banknote data |
| swissheads | Swiss heads data |
| 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'. |
| wool | Wool data. |
| X | Simulated data X. |