|
Last data update: 2014.03.03
Data Source
R Release (3.2.3)
CranContrib
BioConductor
All
Data Type
Packages
Functions
Images
Data set
Classification
|
Results 1 - 7 of 7 found.
[1]
<
1
>
[1]
Sort:
CvM
(Package: cepp) :
Projection Pursuit Indices based on the bivariate empirical distribution function.
This function can be used to compute the projection pursuit indices described in Perisic and Posse (2005).
● Data Source:
CranContrib
● Keywords:
● Alias: D1, D2, KS, ecdf.indices
●
0 images
|
geodesic
(Package: cepp) :
Functions for geodesic search
This function provides an alternative way to optimize the projection index, by moving along a geodesic path.
● Data Source:
CranContrib
● Keywords:
● Alias: search_geodesic
●
0 images
|
bases
(Package: cepp) :
Create random bases
Generate bases.
● Data Source:
CranContrib
● Keywords:
● Alias: basis_nearby, basis_random
●
0 images
|
caller
(Package: cepp) :
Function to optimize the projection index
This function provides an alternative way to optimize the projection index, by moving along a geodesic path.
● Data Source:
CranContrib
● Keywords:
● Alias: caller
●
0 images
|
Sexpr[results=rd,stage=build]{tools:::Rd_package_description("cepp")} Details The DESCRIPTION file: Sexpr[results=rd,stage=build]{tools:::Rd_package_DESCRIPTION("cepp")}
● Data Source:
CranContrib
● Keywords: projection pursuit
● Alias: cepp, cepp-package
●
0 images
|
evaluator
(Package: cepp) :
Function to evaluate spatial quantiles
This provides an objective function whose minimization yields the spatial quantiles.
● Data Source:
CranContrib
● Keywords:
● Alias: evaluator
●
0 images
|
pp
(Package: cepp) :
Creates the projection pursuit function.
These functions encapsulate everything, that is, the data, the benchmark and the index parameters, needed to compute the projection index.
● Data Source:
CranContrib
● Keywords:
● Alias: pp
●
0 images
|
|
providing 
.