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RandomFields (version 3.0.10)

Simulation and Analysis of Random Fields

Description

Simulation of Gaussian and extreme value random fields; conditional simulation; kriging; maximum likelihood estimation

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Version

Install

install.packages('RandomFields')

Monthly Downloads

964

Version

3.0.10

License

GPL (>= 3)

Maintainer

Martin Schlather

Last Published

January 21st, 2014

Functions in RandomFields (3.0.10)

Max-stable random fields

Simulation of Max-Stable Random Fields

RFdistr

Evaluating distribution families

Information about the implemented covariance models

Circulant Embedding

Circulant Embedding methods

RFmodel

Evaluation operators

RFpointsDataFrame-class

Class RFpointsDataFrame

Independent Variables

Method to simulate the Nugget effect

Constants

Constants used in RandomFields

Graphical User Interface For Fitting Covariance Models And Variograms

RFempVariog-class

Class RFempVariog

RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"

RFgridDataFrame-class

Class RFgridDataFrame

RFformula

RFformula - syntax to design random field models with trend or linear mixed models

Nice print function returning also the names automatically

RMaskey

Askey model

RFgetModelNames

Names of implemented covariance and variogram models

RMschlather

Covariance Model for binary field based on Gaussian field

Modifications of the Cauchy Family Covariance Model

RMqam

Quasi-arithmetic mean

Simulation Techniques

plot-method

Methods for function plot in package RandomFields

RMcauchy

Cauchy Family Covariance Model

RFratiotest

Likelihood ratio test

RFsimulateAdvanced

Simulation of Random Fields -- Advanced

RMfractdiff

Fractionally Differenced Process Model

Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes

RMfbm

Variogram Model of Fractal Brownian Motion

RMwhittlematern

Whittle-Matern Covariance Model

RMstable

Stable Family / Powered Exponential Model

RMcurlfree

Curlfree Covariance Model

RFcov

Evaluate Covariance and Variogram Functions

RMma

Ma operator

RMave

Space-time moving average model

RMbessel

Bessel Family Covariance Model

Random parameters

RMcubic

Cubic Covariance Model

RFoptions

Setting control parameters

RMmatrix

Matrix operator

RPchi2

Simulation of a Chi2 Random Fields

RMgauss

Gaussian Covariance Model

RMcoxisham

Cox Isham Covariance Model

RMbiwm

Full Bivariate Whittle Matern Model

RMkolmogorov

Identical Model

RMplus

Addition of Random Field Models

RMmastein

Ma-Stein operator

RMnsst

Non-Separable Space-Time model

RFsp-class

Class RFsp

RFsimulate.more.examples

Further Examples for the Simulation of Random Fields

RMdewijsian

Generalized DeWijsian Variogram Model

ExtremalGaussian

Extremal Gaussian process

RMqexp

Variant of the exponential model

RMdivfree

Divfree Covariance Model

RMrotat

Rotation matrices

RMstein

Stein nonseparable space-time model

RMexp

Exponential Covariance Model

RFfit

Fitting model parameters to spatial data (regionalised variables) and to linear (mixed) models

RMbrownresnick

Tail correlation function of the Brown-Resnick process

RMhyperbolic

Generalized Hyperbolic Covariance Model

RMlgd

Local-Global Distinguisher Family Covariance Model

RRgauss

Random scaling used with balls

RMpower

Power operator for Variograms and Covariance functions

RMmppplus

Mixture of shape functions

RMS

Scaling operator

RMangle

Anisotropy matrix given by angle

RMiaco

Iaco-Cesare model

RMstp

Single temporal process

Others

Auxiliary and other Models

RRdeterm

Random scaling used with balls

RMcutoff

Gneiting's modification towards finite range

RFhurst

Hurst coefficient

RMdampedcos

Exponentially Damped Cosine

Tbm

Turning Bands method

RMepscauchy

Generalized Cauchy Family Covariance Model

RMconstant

Constant Covariance Matrix

RMvector

Vector Covariance Model

RMgneiting

Gneiting Covariance Model

RandomFields-package

Simulation and Analysis of Random Fields

RMfixed

Fixed Effect Model

RMmodelgenerator-class

Class RMmodelgenerator

RMfractgauss

Fractal Gaussian Model Family

RMtrend

Trend Model

RMbernoulli

Covariance Model for binary field based on a Gaussian field

RFempiricalvariogram

Empirical (Cross-)Variogram

RMmult

Multiplication of Random Field Models

RMgneitingdiff

Gneiting Covariance Model Used as Tapering Function

RMintrinsic

Intrinsic Embedding Covariance Model

RMstrokorb

Tail correlation function of the Brown-Resnick process

RMwave

Wave Covariance Model / Cardinal Sine

Spectral

Spectral turning bands method

fitgauss

Details on fitting Gaussian random fields

RMspheric

Spherical Covariance Model

RMpenta

Penta Covariance Model

RRrectangular

Random scaling used with balls

Obsolete Functions

Obsolete functions

RMuser

User Defined Function

RMintexp

Integral exponential operator

Smith

(Mixed) Moving Maxima

RMtruncsupport

Random sign

RMmodel

Covariance and Variogram Models in RandomFields

S10

On some covariance models based on normal scale mixtures

S02

Models for stationary max-stable random fields

RMsign

Random sign

RMgenfbm

Generalized Fractal Brownian Motion Variogram Model

RMnonstwm

RPgauss

Simulation of Gaussian Random Fields

RPmodel

Models for classes of random fields

RMnatsc

Natural scale

RRspherical

Random scaling used with balls

RMtrafo

Transformation of coordinate systems

SS12

Covariance Models for Random Vector Fields

RMmodelsAdvanced

Advanced features of the mdoels

Advanced Max-stable random fields

Simulation examples of advanced Max-Stable Random Fields

RMpolygon

RMnugget

Nugget Effect Covariance Model

RMeaxxa

Special models for rotation like fields

conventional2RFspDataFrame

Coercion to class 'RFsp' objects

RMdelay

Bivariate Delay Effect

papers

Papers involving RandomFields and co-authored by M. Schlather

RMparswm

Parsimonious Multivariate Whittle Matern Model

RRloc

Random scaling used with balls

Square roots

Methods relying on square roots of the covariance matrix

jss13

Rpackage RandomFields: Analysis and simulation of multivariate random fields and more

RMrational

Rational function

BrownResnick

Brown-Resnick process

soil

Soil data of North Bavaria, Germany

RRunif

Random scaling used with balls

SBS14

Systematic co-occurrence of tail correlation functions among max-stable processes

Hyperplane

Hyperplane method

RMcoord

Coordinates in the mixed model representation

RFsimulate

Simulation of Random Fields

RMbr2

Transformation among tail correlation functions

coerce RFsp-class to conventional format

RMdagum

Dagum Covariance Model Family

RMmqam

multivariate quasi-arithmetic mean

RMschur

Schur product

RPpoisson

Simulation of Random Fields

Low level functions

RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields

Gneiting-Wendland Covariance Models

RMgencauchy

Generalized Cauchy Family Covariance Model

RMid

Identical Model

RPbernoulli

Simulation of Binary Random Fields

Specific

Methods that are specific to certain covariance models

weather

Pressure and temperature forecast errors over the Pacific Northwest

GaussianFields

Methods for Gaussian Random Fields

Baysian

Baysian Spatial Modelling

RFfractaldim

RFfractaldimension

RFspatialGridDataFrame-class

Class "RFspatialGridDataFrame"

RMcircular

Circular Covariance Model

RMgengneiting

Gneiting-Wendland Covariance Models

GSPSJ06

Fast and Exact Simulation of Large Gaussian Lattice Systems in R2

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Simulation and Analysis of Random Fields

Description

Copy Link

Version

Install

Monthly Downloads

Version

License

Maintainer

Last Published

Functions in RandomFields (3.0.10)