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RandomFields (version 3.1.12)

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

1,209

Version

3.1.12

License

GPL (>= 3)

Maintainer

Martin Schlather

Last Published

April 25th, 2016

Functions in RandomFields (3.1.12)

Mathematial C functions

Transformation of coordinate systems

RFempiricalvariogram

Empirical (Cross-)Variogram

RFoptionsAdvanced

Setting control arguments of RandomFields -- advanced examples

Hierarchical Modelling

Bayesian Spatial Modelling

Simulation of Random Fields

Setting control arguments

Evaluate Covariance and Variogram Functions

Methods for Gaussian Random Fields

Evaluation operators (RF commands)

Curlfree Covariance Model

RMmodels Overview

Overview over classes of RMmodels

Covariance Matrix Constant in Space

RFpointsDataFrame-class

Class RFpointsDataFrame

Transformation from Brown-Resnick to Bernoulli

Fractal Gaussian Model Family

Linear part of RMmodel

Fixed Effect Model

Gneiting Covariance Model

RFcrossvalidate

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

Gneiting-Wendland Covariance Models

Linear part of RMmodel

Local-Global Distinguisher Family Covariance Model

Non-Separable Space-Time model

RFgetMethodNames

Simulation Techniques

Transformation from Brown-Resnick to Gauss

Parsimonious Multivariate Whittle Matern Model

Tail correlation function of the Brown-Resnick process

Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes

RFsimulateAdvanced

Simulation of Random Fields -- Advanced

RFgetModelNames

Names of implemented covariance and variogram models

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

Covariance and Variogram Models in RandomFields (RM commands)

RMmodelsMultivariate

Multivariate models

Exponential operator

Likelihood ratio test

Wave Covariance Model / Cardinal Sine

Space-time moving average model

Covariance Model for binary field based on a Gaussian field

Bessel Family Covariance Model

Full Bivariate Whittle Matern Model

Vector Covariance Model

Gneiting Covariance Model Used as Tapering Function

Plain scalar product

RFloglikelihood

Likelihood and estimation of linear models

Dagum Covariance Model Family

Cauchy Family Covariance Model

RMmodelsSpacetime

Space-time Covariance Models

Creating poylonmial models

Integral exponential operator

Evaluating distribution families

Generalized Hyperbolic Covariance Model

RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"

Covariance Model for binary field based on Gaussian field

RMmodelFit-class

Class "RMmodelFit"

Intrinsic Embedding Covariance Model

Bivariate Delay Effect

Spectral turning bands method

Random scaling used with balls

Quasi-arithmetic mean

Ma-Stein operator

Tail Correlation Funtioncs

Covariance models valid for max-stable random fields

Simulation of Binary Random Fields

Scaling operator

Internal functions

Internal functions

Multiplication of Random Field Models

Simulation of Random Fields

Major Revisions

Documentation of major changings

Distribution Families

Distribution families (RR commands)

Information about the implemented covariance models

Pressure and temperature forecast errors over the Pacific Northwest

Auxiliary and other Models

multivariate quasi-arithmetic mean

Identical Model

Soil data of North Bavaria, Germany

Simulation of Gaussian Random Fields

Identical Model

RMmodelsAdvanced

Advanced features of the mdoels

Internal models

RandomFields-package

Simulation and Analysis of Random Fields

The Multiquadric Family Covariance Model on th Sphere

Hurst coefficient

On some covariance models based on normal scale mixtures

Turning Bands Method

RMmodelgenerator-class

Class RMmodelgenerator

Fractionally Differenced Process Model

Matrix operator

Iaco-Cesare model

ExtremalGaussian

Extremal Gaussian process

Optimisers for fitting model parameters to spatial data

Strokorb's Functions

Tail correlation function of the Brown-Resnick process

Fixed Covariance Matrix

Nugget Effect Covariance Model

Papers involving RandomFields and co-authored by M. Schlather

Random coin method

Random scaling used with balls

Random scaling used with balls

User Defined Function

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

Random scaling used with balls

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

Transformation of coordinate systems

Divfree Covariance Model

Spherical models

Covariance models valid on a sphere

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

RMwhittlematern

Whittle-Matern Covariance Model

RFspatialGridDataFrame-class

Class "RFspatialGridDataFrame"

Circular Covariance Model

Generalized Cauchy Family Covariance Model

Obsolete Functions

Obsolete functions

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

RFgridDataFrame-class

Class RFgridDataFrame

Hyperplane method

Covariance Models for Random Vector Fields

Exponentially Damped Cosine

RMmodelsNonstationary

Nonstationary features of the mdoels

Mixture of shape functions

Max-stable random fields

Simulation of Max-Stable Random Fields

conventional2RFspDataFrame

Coercion to class 'RFsp' objects

Addition of Random Field Models

Trend Modelling

Trend Modelling

Rotation matrices

Brown-Resnick process

Graphical User Interface For Fitting Covariance Models And Variograms

Variogram Model of Fractal Brownian Motion

Random scaling used with balls

Information on RMmodels

Coordinate systems

Coordinate systems

Graphical parameters for plots

Gneiting's modification towards finite range

RFsimulate.more.examples

Further Examples for the Simulation of Random Fields

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

Cox Isham Covariance Model

Rational function

Variogram Model Similar to Fractal Brownian Motion

The Sinepower Covariance Model on the Sphere

Single temporal process

Independent Variables

Method to simulate the Nugget effect

Non-Separable Space-Time model

Interpolation methods

Random scaling used with balls

(Mixed) Moving Maxima

Circulant Embedding

Circulant Embedding methods

Exponential Covariance Model

Simulation of a Chi2 Random Fields

Covariance models for multivariate and vector valued fields

Modified DeWijsian Variogram Model

Special models for rotation like fields

Gneiting-Wendland Covariance Models

Stein nonseparable space-time model

Penta Covariance Model

Models for stationary max-stable random fields

Methods relying on square roots of the covariance matrix

Fast and Exact Simulation of Large Gaussian Lattice Systems in R2

RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields

Anisotropy matrix given by angle

Variant of the exponential model

Internally stored model

Turning Bands method

Model for covariates

Generalized Cauchy Family Covariance Model

Gaussian Covariance Model

Plain scalar product

RFfractaldimension

Coordinates in the mixed model representation

Generalized Fractal Brownian Motion Variogram Model

Class RMmodel

Stable Family / Powered Exponential Model

Max-stable random fields, advanced

Simulation examples of advanced Max-Stable Random Fields

Extremal t process

Methods that are specific to certain covariance models

Constants used in RandomFields (RC constants)

Modifications of the Cauchy Family Covariance Model

Cubic Covariance Model

RFempVariog-class

Class RFempVariog

Models for classes of random fields (RP commands)

Documentation of some further changings

Power operator for Variograms and Covariance functions

The Spherical Covariance Model

Methods for function plot in package RandomFields

Simulation of a T Random Fields

Model bridging stationary and intrinsically stationary processes