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RandomFields (version 3.0.32)

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

3.0.32

License

GPL (>= 3)

Maintainer

Martin Schlather

Last Published

August 4th, 2014

Functions in RandomFields (3.0.32)

RFcrossvalidate

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

Major Revisions

Documentation of major changings

Independent Variables

Method to simulate the Nugget effect

RMfixed

Fixed Effect Model

RFformula

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

RMeaxxa

Special models for rotation like fields

multivariate quasi-arithmetic mean

RFgridDataFrame-class

Class RFgridDataFrame

PrintModelList

Information about the implemented covariance models

RMschlather

Covariance Model for binary field based on Gaussian field

RFgetMethodNames

Simulation Techniques

RFdistr

Evaluating distribution families

RMdewijsian

Modified DeWijsian Variogram Model

RMkolmogorov

Identical Model

RMbr2

Transformation among tail correlation functions

RMmult

Multiplication of Random Field Models

RMmodelgenerator-class

Class RMmodelgenerator

RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields

RMcauchy

Cauchy Family Covariance Model

BrownResnick

Brown-Resnick process

RFoptions

Setting control arguments

RMintrinsic

Intrinsic Embedding Covariance Model

RandomFields-package

Simulation and Analysis of Random Fields

RPgauss

Simulation of Gaussian Random Fields

RMlgd

Local-Global Distinguisher Family Covariance Model

RMmppplus

Mixture of shape functions

RMqexp

Variant of the exponential model

RFfit

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

RRrectangular

Random scaling used with balls

Others

Auxiliary and other Models

RMrotat

Rotation matrices

RMepscauchy

Generalized Cauchy Family Covariance Model

RFspatialGridDataFrame-class

Class "RFspatialGridDataFrame"

RMdagum

Dagum Covariance Model Family

GSPSJ06

Fast and Exact Simulation of Large Gaussian Lattice Systems in R2

RRgauss

Random scaling used with balls

Advanced Max-stable random fields

Simulation examples of advanced Max-Stable Random Fields

RMfbm

Variogram Model of Fractal Brownian Motion

RPchi2

Simulation of a Chi2 Random Fields

RMtrend

Trend Model

Strokorb's Functions

Tail correlation function of the Brown-Resnick process

RMdelay

Bivariate Delay Effect

RFpointsDataFrame-class

Class RFpointsDataFrame

RFsimulate

Simulation of Random Fields

Spectral

Spectral turning bands method

weather

Pressure and temperature forecast errors over the Pacific Northwest

GaussianFields

Methods for Gaussian Random Fields

RMschur

Schur product

RPpoisson

Simulation of Random Fields

RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"

RFcov

Evaluate Covariance and Variogram Functions

RFgetModelNames

Names of implemented covariance and variogram models

RMcoord

Coordinates in the mixed model representation

Constants

Constants used in RandomFields

RFempVariog-class

Class RFempVariog

RMfractdiff

Fractionally Differenced Process Model

RFempiricalvariogram

Empirical (Cross-)Variogram

RMgneitingdiff

Gneiting Covariance Model Used as Tapering Function

S02

Models for stationary max-stable random fields

RMave

Space-time moving average model

RMangle

Anisotropy matrix given by angle

Nice print function returning also the names automatically

RFsp-class

Class RFsp

RMcurlfree

Curlfree Covariance Model

RMrational

Rational function

RMbcw

Model bridging stationary and intrinsically stationary processes

RMmodelFit-class

Class "RMmodelFit"

RMmodelsAdvanced

Advanced features of the mdoels

RMconstant

Constant Covariance Matrix

RMmastein

Ma-Stein operator

RRspheric

Random scaling used with balls

RMnsst

Non-Separable Space-Time model

RFfit-class

Class RFfit

RFgui

Graphical User Interface For Fitting Covariance Models And Variograms

RFsimulateAdvanced

Simulation of Random Fields -- Advanced

RMcoxisham

Cox Isham Covariance Model

RMstp

Single temporal process

RMS

Scaling operator

RMbessel

Bessel Family Covariance Model

RMintexp

Integral exponential operator

RMgencauchy

Generalized Cauchy Family Covariance Model

SS12

Covariance Models for Random Vector Fields

RMdampedcos

Exponentially Damped Cosine

RMgengneiting

Gneiting-Wendland Covariance Models

RMbigneiting

Gneiting-Wendland Covariance Models

RMpower

Power operator for Variograms and Covariance functions

RMpolygon

Internal functions

Square roots

Methods relying on square roots of the covariance matrix

RMparswm

Parsimonious Multivariate Whittle Matern Model

RFfunction

Evaluation operators

RMmodel

Covariance and Variogram Models in RandomFields

RMqam

Quasi-arithmetic mean

RMaskey

Askey model

Specific

Methods that are specific to certain covariance models

RRdistr

RMgenfbm

Generalized Fractal Brownian Motion Variogram Model

RMtbm

Turning Bands Method

RMcubic

Cubic Covariance Model

RMtruncsupport

Random sign

conventional2RFspDataFrame

Coercion to class 'RFsp' objects

RMpenta

Penta Covariance Model

RMwhittlematern

Whittle-Matern Covariance Model

RMmatrix

Matrix operator

RMwave

Wave Covariance Model / Cardinal Sine

Generalized Hyperbolic Covariance Model

RMsign

Random sign

S10

On some covariance models based on normal scale mixtures

RRunif

Random scaling used with balls

RRloc

Random scaling used with balls

Tbm

Turning Bands method

Max-stable random fields

Simulation of Max-Stable Random Fields

RFgetModelInfo

Internal information

Smith

(Mixed) Moving Maxima

jss14

Covariance models for multivariate and vector valued fields

RMball

RMnonstwm

RFsp2conventional

coerce RFsp-class to conventional format

RMma

Ma operator

Circulant Embedding

Circulant Embedding methods

RFsimulate.more.examples

Further Examples for the Simulation of Random Fields

RMnatsc

Natural scale

RMflatpower

Variogram Model Similar to Fractal Brownian Motion

ExtremalGaussian

Extremal Gaussian process

RMtrafo

Transformation of coordinate systems

RMplus

Addition of Random Field Models

RPbernoulli

Simulation of Binary Random Fields

SBS14

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

RPprocess

Models for classes of random fields

papers

Papers involving RandomFields and co-authored by M. Schlather

RMspheric

Spherical Covariance Model

RFinterpolate

Interpolation methods

Baysian

Baysian Spatial Modelling

Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes

RFhurst

Hurst coefficient

RMbernoulli

Covariance Model for binary field based on a Gaussian field

RMcauchytbm

Modifications of the Cauchy Family Covariance Model

RMcircular

Circular Covariance Model

RMid

Identical Model

RMvector

Vector Covariance Model

RFratiotest

Likelihood ratio test

RMnugget

Nugget Effect Covariance Model

RMcutoff

Gneiting's modification towards finite range

RMstein

Stein nonseparable space-time model

RMstable

Stable Family / Powered Exponential Model

RMuser

User Defined Function

fitgauss

Details on fitting Gaussian random fields

plot-method

Methods for function plot in package RandomFields

soil

Soil data of North Bavaria, Germany

Obsolete Functions

Obsolete functions

RMbrownresnick

Tail correlation function of the Brown-Resnick process

RMdivfree

Divfree Covariance Model

RMexp

Exponential Covariance Model

Fractal Gaussian Model Family

RRdeterm

Random scaling used with balls

RMgneiting

Gneiting Covariance Model

RFoldstyle

RMbiwm

Full Bivariate Whittle Matern Model

RMiaco

Iaco-Cesare model

RMgauss

Gaussian Covariance Model