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 - 5 of 5 found.
[1] < 1 > [1]  Sort:

createProductRuleGrid (Package: SparseGrid) :

Creates nodes and weights according to the product rule, combining 1D nodes and weights. Sparse grids can be created with the function createSparseGrid.
● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: createProductRuleGrid
● 0 images

readASCGrid (Package: SparseGrid) :

This function reads nodes and weights with the format of the .asc files available from http://www.sparse-grids.de
● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: readASCGrid
● 0 images

createIntegrationGrid (Package: SparseGrid) :

This function creates nodes and weights that can be used for integration. It is a convenience function that calls createSparseGrid and createProductRuleGrid and returns the grid with the least number of nodes. Typically, a grid created by the product rule will only contain fewer nodes than a sparse grid for very low dimensions.
● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: createIntegrationGrid
● 0 images

createSparseGrid (Package: SparseGrid) :

Creates nodes and weights that can be used for sparse grid integration. Based on Matlab code by Florian Heiss and Viktor Winschel, available from http://www.sparse-grids.de
● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: SparseGrid, createSparseGrid
● 0 images

createMonteCarloGrid (Package: SparseGrid) :

Simulate nodes using a random number generator supplied by the user, and combine these with a vector of equal weights into a list. Sparse grids can be created with the function createSparseGrid.
● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: createMonteCarloGrid
● 0 images