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RandomFields (version 3.0.35)

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

1,209

Version

3.0.35

License

GPL (>= 3)

Maintainer

Martin Schlather

Last Published

August 12th, 2014

Functions in RandomFields (3.0.35)

Independent Variables

Method to simulate the Nugget effect

RFfit-class

Class RFfit

Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes

RMcircular

Circular Covariance Model

RFgetModelNames

Names of implemented covariance and variogram models

RFsp-class

Class RFsp

RFoptionsAdvanced

Setting control arguments of RandomFields -- advanced examples

RFcrossvalidate

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

RMnonstwm

RFinterpolate

Interpolation methods

RMcubic

Cubic Covariance Model

RMdewijsian

Modified DeWijsian Variogram Model

RFempVariog-class

Class RFempVariog

Strokorb's Functions

Tail correlation function of the Brown-Resnick process

PrintModelList

Information about the implemented covariance models

RFspatialGridDataFrame-class

Class "RFspatialGridDataFrame"

RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields

RFdistr

Evaluating distribution families

RMintexp

Integral exponential operator

RMbr2bg

Transformation from Brown-Resnick to Bernoulli

RMintrinsic

Intrinsic Embedding Covariance Model

RMplus

Addition of Random Field Models

ExtremalGaussian

Extremal Gaussian process

Max-stable random fields

Simulation of Max-Stable Random Fields

RMepscauchy

Generalized Cauchy Family Covariance Model

RFfunction

Evaluation operators

jss14

Covariance models for multivariate and vector valued fields

RMbcw

Model bridging stationary and intrinsically stationary processes

RMangle

Anisotropy matrix given by angle

RFpointsDataFrame-class

Class RFpointsDataFrame

RMcauchy

Cauchy Family Covariance Model

RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"

RFoldstyle

RMcoord

Coordinates in the mixed model representation

RMgengneiting

Gneiting-Wendland Covariance Models

RMcurlfree

Curlfree Covariance Model

RFsp2conventional

coerce RFsp-class to conventional format

Baysian

Baysian Spatial Modelling

Nice print function returning also the names automatically

Exponential Covariance Model

RFgridDataFrame-class

Class RFgridDataFrame

RPgauss

Simulation of Gaussian Random Fields

Constants

Constants used in RandomFields

RMbigneiting

Gneiting-Wendland Covariance Models

RMbr2eg

Transformation from Brown-Resnick to Gauss

RMiaco

Iaco-Cesare model

RMbiwm

Full Bivariate Whittle Matern Model

RMgenfbm

Generalized Fractal Brownian Motion Variogram Model

RMsign

Random sign

RMgneiting

Gneiting Covariance Model

RPprocess

Models for classes of random fields

Local-Global Distinguisher Family Covariance Model

RMmodel-class

Class RMmodel

GaussianFields

Methods for Gaussian Random Fields

RRunif

Random scaling used with balls

RMave

Space-time moving average model

RFempiricalvariogram

Empirical (Cross-)Variogram

RMpolygon

RMcauchytbm

Modifications of the Cauchy Family Covariance Model

Major Revisions

Documentation of major changings

Hyperplane

Hyperplane method

RMcoxisham

Cox Isham Covariance Model

RMpenta

Penta Covariance Model

RMaskey

Askey model

RMconstant

Constant Covariance Matrix

RMmodel

Covariance and Variogram Models in RandomFields

RFsimulateAdvanced

Simulation of Random Fields -- Advanced

RFfractaldim

RFfractaldimension

RMbernoulli

Covariance Model for binary field based on a Gaussian field

RRspheric

Random scaling used with balls

RMmodelFit-class

Class "RMmodelFit"

RFcov

Evaluate Covariance and Variogram Functions

RFfit

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

Variogram Model Similar to Fractal Brownian Motion

RPpoisson

Simulation of Random Fields

RPbernoulli

Simulation of Binary Random Fields

Advanced features of the mdoels

RMspheric

Spherical Covariance Model

SBS14

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

RMma

Ma operator

RMfractdiff

Fractionally Differenced Process Model

RFgetMethodNames

Simulation Techniques

RandomFields-package

Simulation and Analysis of Random Fields

RMexponential

Exponential operator

RMdagum

Dagum Covariance Model Family

Spectral

Spectral turning bands method

RFoptions

Setting control arguments

RMcutoff

Gneiting's modification towards finite range

RMnsst

Non-Separable Space-Time model

RFsimulate.more.examples

Further Examples for the Simulation of Random Fields

Smith

(Mixed) Moving Maxima

BrownResnick

Brown-Resnick process

conventional2RFspDataFrame

Coercion to class 'RFsp' objects

RMhyperbolic

Generalized Hyperbolic Covariance Model

RMbrownresnick

Tail correlation function of the Brown-Resnick process

RMid

Identical Model

RRrectangular

Random scaling used with balls

RMstein

Stein nonseparable space-time model

Circulant Embedding

Circulant Embedding methods

RMmastein

Ma-Stein operator

Specific

Methods that are specific to certain covariance models

RMS

Scaling operator

RFratiotest

Likelihood ratio test

RFsimulate

Simulation of Random Fields

RMkolmogorov

Identical Model

RMdivfree

Divfree Covariance Model

RMdelay

Bivariate Delay Effect

GSPSJ06

Fast and Exact Simulation of Large Gaussian Lattice Systems in R2

RMqexp

Variant of the exponential model

RMfbm

Variogram Model of Fractal Brownian Motion

RPchi2

Simulation of a Chi2 Random Fields

RRgauss

Random scaling used with balls

Others

Auxiliary and other Models

RMschlather

Covariance Model for binary field based on Gaussian field

RMmppplus

Mixture of shape functions

RMtbm

Turning Bands Method

RMvector

Vector Covariance Model

RMgencauchy

Generalized Cauchy Family Covariance Model

Square roots

Methods relying on square roots of the covariance matrix

RMrational

Rational function

papers

Papers involving RandomFields and co-authored by M. Schlather

RMparswm

Parsimonious Multivariate Whittle Matern Model

RMfractgauss

Fractal Gaussian Model Family

RMrotat

Rotation matrices

RMgneitingdiff

Gneiting Covariance Model Used as Tapering Function

RMintern

Internal models

RMuser

User Defined Function

Models for stationary max-stable random fields

Coins

Random coin method

RFformula

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

RMeaxxa

Special models for rotation like fields

RMwave

Wave Covariance Model / Cardinal Sine

RMball

RMwhittlematern

Whittle-Matern Covariance Model

plot-method

Methods for function plot in package RandomFields

fitgauss

Details on fitting Gaussian random fields

RMmodelgenerator-class

Class RMmodelgenerator

RRdistr

RMmult

Multiplication of Random Field Models

weather

Pressure and temperature forecast errors over the Pacific Northwest

RMmqam

multivariate quasi-arithmetic mean

RMnugget

Nugget Effect Covariance Model

Advanced Max-stable random fields

Simulation examples of advanced Max-Stable Random Fields

RMstp

Single temporal process

soil

Soil data of North Bavaria, Germany

RRloc

Random scaling used with balls

RFgui

Graphical User Interface For Fitting Covariance Models And Variograms

RFhurst

Hurst coefficient

RMdampedcos

Exponentially Damped Cosine

RMgauss

Gaussian Covariance Model

RMstable

Stable Family / Powered Exponential Model

RMtrafo

Transformation of coordinate systems

RMqam

Quasi-arithmetic mean

S10

On some covariance models based on normal scale mixtures

Tbm

Turning Bands method

RMbessel

Bessel Family Covariance Model

RMpower

Power operator for Variograms and Covariance functions

SS12

Covariance Models for Random Vector Fields

RRdeterm

Random scaling used with balls