B C D E F G H I L M P R S T W X Z
bank_data | Bank data (Riani et al., 2014). |
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 |
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 |
geyser2 | Old Faithful Geyser Data. |
hawkins | Hawkins data. |
hospital | Hospital data (Neter et al., 1996) |
Income1 | Income1 |
Income2 | Income2 |
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 |
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 |
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 |
score | Computes the score test for transformation in regression |
score.default | Computes the score test for transformation in regression |
score.formula | Computes the score test for transformation in regression |
score.object | Objects returned by the function 'score' |
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. |
z1 | z1 |