R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 5 of 5 found.
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SphericalCubature : Numerical Integration over Spheres and Balls in n-Dimensions; Multivariate Polar Coordinates

Package: SphericalCubature
Type: Package
Title: Numerical Integration over Spheres and Balls in n-Dimensions;
Multivariate Polar Coordinates
Version: 1.1
Date: 2016-05-17
Author: John P. Nolan, American University
Maintainer: John P. Nolan <jpnolan@american.edu>
Depends: R (>= 3.0), cubature, SimplicialCubature, mvmesh
Description: Provides several methods to integrate functions over the unit
sphere and ball in n-dimensional Euclidean space. Routines for converting to/from
multivariate polar/spherical coordinates are also provided.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-05-17 13:07:04 UTC; John
Repository: CRAN
Date/Publication: 2016-05-17 21:34:08

● Data Source: CranContrib
● Cran Task View: NumericalMathematics
● 0 images, 8 functions, 0 datasets
● Reverse Depends: 1

spatialTailDep : Estimation of spatial tail dependence models

Package: spatialTailDep
Title: Estimation of spatial tail dependence models
Description: Provides functions implementing the pairwise M-estimator for
parametric models for stable tail dependence functions described in "An
M-estimator of spatial tail dependence"
(Einmahl, J.H.J., Kiriliouk, A., Krajina, A. and Segers, J., 2014).
See http://arxiv.org/abs/1403.1975.
Version: 1.0.2
Author: Anna Kiriliouk, Johan Segers
Maintainer: Anna Kiriliouk <anna.kiriliouk@uclouvain.be>
Depends: R (>= 3.0.1), cubature, mvtnorm, SpatialExtremes
License: GPL-3
LazyData: true
Collate: 'tailIntEmp.r' 'gridUtilities.r' 'EstimationSmith.r'
'EstimationBR.r' 'Estimation.R' 'spatialTailDep-package.r'
Packaged: 2014-11-18 08:45:09 UTC; Anna
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-11-18 16:23:30

● Data Source: CranContrib
● 0 images, 8 functions, 0 datasets
● Reverse Depends: 0

stppResid : Perform residual analysis on space-time point process models.

Package: stppResid
Type: Package
Title: Perform residual analysis on space-time point process models.
Version: 1.1
Date: 2011-02-14
Author: Robert Clements
Maintainer: Robert Clements <rclements17@gmail.com>
Description: Implement transformation-based and pixel-based residual
analysis of spatial-temporal point process models.
License: GPL (>= 2)
LazyLoad: yes
Depends: deldir, splancs, cubature
Packaged: 2012-11-20 12:37:01 UTC; robert
Repository: CRAN
Date/Publication: 2012-11-20 13:13:46

● Data Source: CranContrib
● Cran Task View: SpatioTemporal
● 0 images, 32 functions, 14 datasets
● Reverse Depends: 0

symmoments : Symbolic central and noncentral moments of the multivariate normal distribution

Package: symmoments
Type: Package
Title: Symbolic central and noncentral moments of the multivariate
normal distribution
Version: 1.2
Date: 2014-05-21
Author: Kem Phillips
Depends: mvtnorm, cubature, combinat, multipol
Suggests: mpoly, ape
Maintainer: Kem Phillips <kemphillips@comcast.net>
Description: Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX code, and values at specified mean and covariance matrices.
License: GPL
LazyLoad: yes
Packaged: 2014-08-04 11:12:55 UTC; Kem
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-04 15:29:55

● Data Source: CranContrib
● 0 images, 18 functions, 0 datasets
● Reverse Depends: 0

yuima : The YUIMA Project Package for SDEs

Package: yuima
Type: Package
Title: The YUIMA Project Package for SDEs
Version: 1.1.0
Depends: R (>= 2.10.0), methods, zoo, stats4, utils, expm, cubature,
mvtnorm
Author: YUIMA Project Team
Maintainer: Stefano M. Iacus <stefano.iacus@unimi.it>
Description: Simulation and Inference for Stochastic Differential Equations.
License: GPL-2
URL: http://R-Forge.R-project.org/projects/yuima/
NeedsCompilation: yes
Packaged: 2016-06-16 21:20:26 UTC; jago
Repository: CRAN
Date/Publication: 2016-06-17 08:18:18

● Data Source: CranContrib
● Cran Task View: TimeSeries
● 0 images, 64 functions, 2 datasets
● Reverse Depends: 0