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RandomFields (version 3.1.36)

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

1,221

Version

3.1.36

License

GPL (>= 3)

Last Published

December 25th, 2016

Functions in RandomFields (3.1.36)

Obsolete Functions

Obsolete functions
Internal functions

Internal functions
Coordinate systems

Coordinate systems
Changings

Documentation of some further changings
conventional2RFspDataFrame

Coercion to class 'RFsp' objects
jss14

Covariance models for multivariate and vector valued fields
papers

Papers involving RandomFields and co-authored by M. Schlather
Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes
Hierarchical Modelling

Bayesian Spatial Modelling
GSPSJ06

Fast and Exact Simulation of Large Gaussian Lattice Systems in R2
RFfunction

Evaluation operators (RF commands)
RFboxcox

SS12

Covariance Models for Random Vector Fields
SBS14

Systematic co-occurrence of tail correlation functions among max-stable processes
S10

On some covariance models based on normal scale mixtures
PrintModelList

Information about the implemented covariance models
S02

Models for stationary max-stable random fields
Mathematial C functions

Transformation of coordinate systems
RFempiricalvariogram

Empirical (Cross-)Variogram
RFempVariog-class

Class RFempVariog
RFfitoptimiser

Optimisers for fitting model parameters to spatial data
RFfractaldim

RFfractaldimension
RFcov

Evaluate Covariance and Variogram Functions
RFfit-class

Class RFfit
RFdistr

Evaluating distribution families
RFhurst

Hurst coefficient
RFfit

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

Interpolation methods
RFsp-class

Class RFsp
RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"
RMcauchytbm

Modifications of the Cauchy Family Covariance Model
RMcircular

Circular Covariance Model
RFgetModelNames

Names of implemented covariance and variogram models
RFgetModelInfo

Information on RMmodels
RFsimulate.more.examples

Further Examples for the Simulation of Random Fields
RFsimulate

Simulation of Random Fields
RMfixcov

Fixed Covariance Matrix
RMfractdiff

Fractionally Differenced Process Model
RandomFields-package

Simulation and Analysis of Random Fields
Constants

Constants used in RandomFields (RC constants)
RFgetMethodNames

Simulation Techniques
RFlinearpart

RFgetModel

Internally stored model
RFloglikelihood

Likelihood and estimation of linear models
RMdagum

Dagum Covariance Model Family
RMconstant

Covariance Matrix Constant in Space
RMdampedcos

Exponentially Damped Cosine
RMgneiting

Gneiting Covariance Model
RMgengneiting

Gneiting-Wendland Covariance Models
RMmodelgenerator-class

Class RMmodelgenerator
RMcoord

Coordinates in the mixed model representation
RMmodelsAdvanced

Advanced features of the mdoels
RMgencauchy

Generalized Cauchy Family Covariance Model
RMgenfbm

Generalized Fractal Brownian Motion Variogram Model
RMnonstwm

RMnonstwm
RMnatsc

Natural scale
RMuser

User Defined Function
RMintern

Internal models
RMwave

Wave Covariance Model / Cardinal Sine
Max-stable random fields

Simulation of Max-Stable Random Fields
RMma

Ma operator
RMmodelsNonstationary

Nonstationary features of the mdoels
RMmastein

Ma-Stein operator
RMintexp

Integral exponential operator
RMmodelsSpacetime

Space-time Covariance Models
RMqam

Quasi-arithmetic mean
Max-stable random fields, advanced

Simulation examples of advanced Max-Stable Random Fields
RPpoisson

Simulation of Random Fields
ExtremalGaussian

Extremal Gaussian process
Trend Modelling

Trend Modelling
RMsinepower

The Sinepower Covariance Model on the Sphere
RMmppplus

Mixture of shape functions
BrownResnick

Brown-Resnick process
RMspheric

The Spherical Covariance Model
RPchi2

Simulation of a Chi2 Random Fields
RFgridDataFrame-class

Class RFgridDataFrame
RFgui

Graphical User Interface For Fitting Covariance Models And Variograms
RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields
RFsimulateAdvanced

Simulation of Random Fields -- Advanced
RMbcw

Model bridging stationary and intrinsically stationary processes
RMbernoulli

Covariance Model for binary field based on a Gaussian field
RMdewijsian

Modified DeWijsian Variogram Model
RMsign

Random sign
RMsum

Plain scalar product
Strokorb's Functions

Tail correlation function of the Brown-Resnick process
RPt

Simulation of a T Random Fields
Tbm

Turning Bands method
RRrectangular

Random scaling used with balls
RRdeterm

Random scaling used with balls
RRspheric

Random scaling used with balls
RFpar

Graphical parameters for plots
RRgauss

Random scaling used with balls
RFpointsDataFrame-class

Class RFpointsDataFrame
RMball

RMball
RMave

Space-time moving average model
RMexp

Exponential Covariance Model
RMmodel-class

Class RMmodel
RMeaxxa

Special models for rotation like fields
RMhyperbolic

Generalized Hyperbolic Covariance Model
RMepscauchy

Generalized Cauchy Family Covariance Model
RMkolmogorov

Identical Model
RMlgd

Local-Global Distinguisher Family Covariance Model
RMid

Identical Model
RMmult

Multiplication of Random Field Models
RMmultiquad

The Multiquadric Family Covariance Model on th Sphere
RMpower

Power operator for Variograms and Covariance functions
RMtbm

Turning Bands Method
RMtrafo

Transformation of coordinate systems
RMprod

Plain scalar product
RPgauss

Simulation of Gaussian Random Fields
Hyperplane

Hyperplane method
Specific

Methods that are specific to certain covariance models
RMmodelFit-class

Class "RMmodelFit"
RMtruncsupport

Random sign
RMtrend

Trend Model
RMpenta

Penta Covariance Model
RMplus

Addition of Random Field Models
RPprocess

Models for classes of random fields (RP commands)
RFoptionsAdvanced

Setting control arguments of RandomFields -- advanced examples
RFoldstyle

RFoldstyle
RMmodels Overview

Overview over classes of RMmodels
RMbessel

Bessel Family Covariance Model
RMangle

Anisotropy matrix given by angle
RMcauchy

Cauchy Family Covariance Model
Spectral

Spectral turning bands method
RMcovariate

Model for covariates
weather

Pressure and temperature forecast errors over the Pacific Northwest
sp2RF

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

Fractal Gaussian Model Family
RMcubic

Cubic Covariance Model
RMwhittlematern

Whittle-Matern Covariance Model
RMgauss

Gaussian Covariance Model
RMmatrix

Matrix operator
RMpolygon

RMpolygon
Others

Auxiliary and other Models
RMpolynome

Creating poylonmial models
RMmodelsMultivariate

Multivariate models
RPbernoulli

Simulation of Binary Random Fields
Extremal t

Extremal t process
Independent Variables

Method to simulate the Nugget effect
RRunif

Random scaling used with balls
RMstable

Stable Family / Powered Exponential Model
soil

Soil data of North Bavaria, Germany
Coins

Random coin method
RMstein

Stein nonseparable space-time model
Circulant Embedding

Circulant Embedding methods
Smith

(Mixed) Moving Maxima
Square roots

Methods relying on square roots of the covariance matrix
RRloc

Random scaling used with balls
RRmcmc

RRmcmc