stops-package |
stops: structure optimized proximity scaling |
BankingCrisesDistances |
Banking Crises Distances |
CAClimateIndicatorsCountyMedian |
Climate Change Indicators of Californian Counties |
cmdscale |
Wrapper to 'cmdscale' for S3 class |
conf_adjust |
conf_adjust: a function to procrustes adjust two matrices |
cordillera |
Calculates the Optics Cordillera |
cordillera2 |
Calculates the Optics cordillera |
c_association |
c-association calculates the c-association based on the maximal information coefficient We define c-association as the maximum association between any two dimensions - or use the determinant of the MINE matrix - TBD |
c_clusteredness |
c-clusteredness calculates c-clusteredness as the OPTICS cordillera. The higher the more clustered. |
c_complexity |
c-complexity calculates the c-complexity based on the minimum cell number We define c-complexity as the maximum minimum cell number between any two dimensions - or use the determinant of the MINE matrix? - TBD |
c_dependence |
c-dependence calculates c-dependence as the distance correlation |
c_faithfulness |
c-faithfulness calculates the c-faithfulness based on the index by Chen and Buja 2013 (M_adj) with equal input neigbourhoods |
c_functionality |
c-functionality calculates the c-functionality based on the maximum edge value We define c-functionality as the mean functionality between any two dimensions - or use the determinant of the MINE matrix? - TBD |
c_linearity |
c-linearity calculates c-linearity as the maximum multiple correlation |
c_manifoldness |
c-manifoldness calculates c-manifoldness as the maximal correlation coefficient |
c_mine |
wrapper for getting the mine coefficients |
c_nonmonotonicity |
c-nonmonotonicity calculates the c-nonmonotonicity based on the maximum asymmetric score We define c-nonmonotonicity as the maximum nonmonotonicity between any two dimensions - or use the determinant of the MINE matrix? - TBD |
c_regularity |
c-regularity calculates c-regularity as 1 - OPTICS cordillera for k=2. The higher the more regular. |
doubleCenter |
double centering |
enorm |
Explicit Norm |
e_optics |
OPTICS function |
knn_dist |
calculate k nearest neighbours from a distance matrix |
ljoptim |
(Adaptive) Version of Luus-Jaakola Optimization |
mkBmat |
Auxfunction1 |
mkPower |
MakePower Old |
mkPower2 |
MakePower |
oldcordilleraplot |
Plot method for OPTICS cordilleras. Deprecated. |
pdist |
Squared distances |
Pendigits500 |
Pen digits |
plot.cordillera |
Plot method for OPTICS cordilleras |
plot.opticse |
Plot method for OPTICS results |
plot.smacofP |
S3 plot method for smacofP objects |
plot.stops |
S3 plot method for stops objects |
plot3d.cmdscale |
3D plots: plot3d method for class cmdscale |
plot3d.stops |
3D plots: plot3d method for class stops |
plot3dstatic |
plot3dstatic: static 3D plots |
plot3dstatic.cmdscale |
3D plots: plot3dstatic method for class cmdscale |
plot3dstatic.stops |
3D plots: plot3dstatic method for class stops |
powerStressMin |
Power Stress SMACOF |
print.cordillera |
Print method for OPTICs cordilleras |
print.opticse |
Print method for OPTICS results |
print.summary.opticse |
Print method for OPTICS summary Displays summaries of the reachability plot. Currently its the five points summary of the reachabilities and a stem and leaf display. The latter should not be confused with the reachability plot. If you need the latter, use plot() |
procruster |
procruster: a procrustes function |
sammon |
Wrapper to 'sammon' for S3 class |
secularEq |
Secular Equation |
sqdist |
Squared distances |
stoploss |
Calculate the weighted multiobjective loss function used in STOPS |
stops |
stops: structure optimized proximity scaling |
stop_cmdscale |
STOPS version of strain |
stop_elastic |
STOPS versions of elastic scaling models (via smacofSym) |
stop_flexsmacof |
STOPS versions of flexsmacof models (models with a parametric f() transformation to be determined) |
stop_isomap1 |
STOPS version of isomap to optimize over integer k. |
stop_isomap2 |
STOPS version of isomap over real epsilon. |
stop_powerelastic |
STOPS version of elastic scaling with powers |
stop_powermds |
STOPS version of powermds |
stop_powersammon |
STOPS version of sammon with powers |
stop_powerstress |
STOPS version of powerstress |
stop_rstress |
STOPS version of rstress |
stop_sammon |
STOPS version of sammon mapping |
stop_sammon2 |
STOPS versions of Sammon mapping models (via smacofSym) |
stop_smacofSphere |
STOPS versions of smacofSphere models |
stop_smacofSym |
STOPS version of smacofSym models |
stop_sstress |
STOPS version of sstress |
summary.opticse |
Summary method for OPTICs results |
tgpoptim |
Bayesian Optimization by a (treed) Bayesian Gaussian Process Prior (with jumps to linear models) surrogate model Essentially a wrapper for the functionality in tgp that has the same slots as optim with defaults for STOPS models. |
torgerson |
Torgerson scaling |