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RandomFields (version 3.1.8)

Simulation and Analysis of Random Fields

Description

Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields.

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Version

Install

install.packages('RandomFields')

Monthly Downloads

1,180

Version

3.1.8

License

GPL (>= 3)

Maintainer

Martin Schlather

Last Published

January 9th, 2016

Functions in RandomFields (3.1.8)

Documentation of some further changings

Graphical User Interface For Fitting Covariance Models And Variograms

Evaluate Covariance and Variogram Functions

Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes

Coordinate systems

Coordinate systems

Hierarchical Modelling

Bayesian Spatial Modelling

Scaling operator

Mathematial C functions

Transformation of coordinate systems

RFloglikelihood

Likelihood and estimation of linear models

RFpointsDataFrame-class

Class RFpointsDataFrame

RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"

Likelihood ratio test

Covariance and Variogram Models in RandomFields (RM commands)

RFsp2conventional

coerce RFsp-class to conventional format

Constants used in RandomFields (RC constants)

Covariance Model for binary field based on a Gaussian field

RFempiricalvariogram

Empirical (Cross-)Variogram

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

Tail correlation function of the Brown-Resnick process

Exponential operator

Evaluation operators (RF commands)

Linear part of RMmodel

Internally stored model

Linear part of RMmodel

Modifications of the Cauchy Family Covariance Model

Cubic Covariance Model

Fractionally Differenced Process Model

RFspatialGridDataFrame-class

Class "RFspatialGridDataFrame"

Circular Covariance Model

Simulation of Gaussian Random Fields

Generalized Hyperbolic Covariance Model

RFgetModelNames

Names of implemented covariance and variogram models

RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields

Iaco-Cesare model

Dagum Covariance Model Family

Methods for Gaussian Random Fields

RFfractaldimension

Matrix operator

Non-Separable Space-Time model

Gneiting Covariance Model

Variogram Model of Fractal Brownian Motion

Covariance Matrix Constant in Space

Setting control arguments

Identical Model

Modified DeWijsian Variogram Model

Bivariate Delay Effect

Quasi-arithmetic mean

Generalized Fractal Brownian Motion Variogram Model

Graphical parameters for plots

Transformation from Brown-Resnick to Bernoulli

Information about the implemented covariance models

RMmodelsNonstationary

Nonstationary features of the mdoels

multivariate quasi-arithmetic mean

Major Revisions

Documentation of major changings

Gneiting-Wendland Covariance Models

Ma-Stein operator

Local-Global Distinguisher Family Covariance Model

Space-time moving average model

Model bridging stationary and intrinsically stationary processes

Class RMmodel

Trend Modelling

Trend Modelling

Spherical models

Covariance models valid on a sphere

Evaluating distribution families

RFgetMethodNames

Simulation Techniques

Random scaling used with balls

Addition of Random Field Models

Model for covariates

Hurst coefficient

RFoptionsAdvanced

Setting control arguments of RandomFields -- advanced examples

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

RFsimulateAdvanced

Simulation of Random Fields -- Advanced

RFempVariog-class

Class RFempVariog

Anisotropy matrix given by angle

Curlfree Covariance Model

Gaussian Covariance Model

Creating poylonmial models

Stable Family / Powered Exponential Model

Papers involving RandomFields and co-authored by M. Schlather

Transformation of coordinate systems

Integral exponential operator

Parsimonious Multivariate Whittle Matern Model

Generalized Cauchy Family Covariance Model

Variant of the exponential model

Penta Covariance Model

RMmodels Overview

Overview over classes of RMmodels

The Spherical Covariance Model

Coordinates in the mixed model representation

Nugget Effect Covariance Model

RFgridDataFrame-class

Class RFgridDataFrame

RFsimulate.more.examples

Further Examples for the Simulation of Random Fields

RMmodelsAdvanced

Advanced features of the mdoels

Random coin method

Covariance Models for Random Vector Fields

Cauchy Family Covariance Model

Schoenberg's representation for the classes psi_d and $psi_{\infty}$ in d=2

Simulation of a T Random Fields

Optimisers for fitting model parameters to spatial data

(Mixed) Moving Maxima

Interpolation methods

RMmodelsMultivariate

Multivariate models

Transformation from Brown-Resnick to Gauss

Internal models

Fractal Gaussian Model Family

Exponential Covariance Model

Gneiting's modification towards finite range

conventional2RFspDataFrame

Coercion to class 'RFsp' objects

Simulation of Random Fields

Vector Covariance Model

Details on fitting Gaussian random fields, including Box-Cox transformation

Turning Bands Method

Gneiting-Wendland Covariance Models

Strokorb's Functions

Tail correlation function of the Brown-Resnick process

Fast and Exact Simulation of Large Gaussian Lattice Systems in R2

Max-stable random fields

Simulation of Max-Stable Random Fields

Rational function

Plain scalar product

User Defined Function

Power operator for Variograms and Covariance functions

Internal functions

Internal functions

Rotation matrices

Special models for rotation like fields

Fixed Effect Model

Brown-Resnick process

Full Bivariate Whittle Matern Model

Plain scalar product

Wave Covariance Model / Cardinal Sine

Identical Model

RMmodelsSpacetime

Space-time Covariance Models

Transformation of an 'sp' object to an 'RFsp' object

The Sinepower Covariance Model on the Sphere

Random scaling used with balls

Intrinsic Embedding Covariance Model

RMmodelgenerator-class

Class RMmodelgenerator

Covariance models for multivariate and vector valued fields

Mixture of shape functions

Multiplication of Random Field Models

Auxiliary and other Models

Variogram Model Similar to Fractal Brownian Motion

Spectral turning bands method

Pressure and temperature forecast errors over the Pacific Northwest

Tail Correlation Funtioncs

Covariance models valid for max-stable random fields

Simulation of a Chi2 Random Fields

ExtremalGaussian

Extremal Gaussian process

Distribution Families

Distribution families (RR commands)

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

Extremal t process

Covariance Model for binary field based on Gaussian field

The Multiquadric Family Covariance Model on th Sphere

Cox Isham Covariance Model

Max-stable random fields, advanced

Simulation examples of advanced Max-Stable Random Fields

Random scaling used with balls

Divfree Covariance Model

Independent Variables

Method to simulate the Nugget effect

Hyperplane method

Circulant Embedding

Circulant Embedding methods

Generalized Cauchy Family Covariance Model

Methods that are specific to certain covariance models

Models for classes of random fields (RP commands)

RandomFields-package

Simulation and Analysis of Random Fields

Single temporal process

Fixed Covariance Matrix

Obsolete Functions

Obsolete functions

Gneiting Covariance Model Used as Tapering Function

Exponentially Damped Cosine

Methods for function plot in package RandomFields

Random scaling used with balls

Turning Bands method

Methods relying on square roots of the covariance matrix

Simulation of Random Fields

Random scaling used with balls

Soil data of North Bavaria, Germany

On some covariance models based on normal scale mixtures

Stein nonseparable space-time model

Simulation of Binary Random Fields

Non-Separable Space-Time model

Random scaling used with balls

RFcrossvalidate

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

Information on RMmodels

RMwhittlematern

Whittle-Matern Covariance Model

RMmodelFit-class

Class "RMmodelFit"

Bessel Family Covariance Model

Models for stationary max-stable random fields