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RandomFields (version 3.0.62)

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

1,373

Version

3.0.62

License

GPL (>= 3)

Last Published

February 3rd, 2015

Functions in RandomFields (3.0.62)

RFoldstyle

RFoldstyle
RMcircular

Circular Covariance Model
RMconstant

Covariance Matrix Constant in Space
RMbiwm

Full Bivariate Whittle Matern Model
RMcoxisham

Cox Isham Covariance Model
RMgneiting

Gneiting Covariance Model
RMnugget

Nugget Effect Covariance Model
RFcrossvalidate

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

Covariance Model for binary field based on Gaussian field
RMsign

Random sign
RFempVariog-class

Class RFempVariog
RMmodelsAdvanced

Advanced features of the mdoels
RFsimulate.sophisticated.examples

Sophisticated Examples for the Simulation of Random Fields
PrintModelList

Information about the implemented covariance models
RMmodel-class

Class RMmodel
Constants

Constants used in RandomFields (RC constants)
RMfbm

Variogram Model of Fractal Brownian Motion
RMgenfbm

Generalized Fractal Brownian Motion Variogram Model
RFpar

Graphical parameters for plots
Advanced Max-stable random fields

Simulation examples of advanced Max-Stable Random Fields
plot-method

Methods for function plot in package RandomFields
RFsimulateAdvanced

Simulation of Random Fields -- Advanced
RMexponential

Exponential operator
Coordinate systems

Coordinate systems
RFfit-class

Class RFfit
RMfractdiff

Fractionally Differenced Process Model
RMhyperbolic

Generalized Hyperbolic Covariance Model
Changings

Documentation of some further changings
RMintexp

Integral exponential operator
RFgetMethodNames

Simulation Techniques
RFgridDataFrame-class

Class RFgridDataFrame
RMma

Ma operator
RMbcw

Model bridging stationary and intrinsically stationary processes
RMsum

Plain scalar product
RMrational

Rational function
Print

Nice print function returning also the names automatically
RMparswm

Parsimonious Multivariate Whittle Matern Model
RFsimulate.more.examples

Further Examples for the Simulation of Random Fields
RMprod

Plain scalar product
RMcubic

Cubic Covariance Model
RFoptionsAdvanced

Setting control arguments of RandomFields -- advanced examples
RMbernoulli

Covariance Model for binary field based on a Gaussian field
RMcoord

Coordinates in the mixed model representation
Max-stable random fields

Simulation of Max-Stable Random Fields
GaussianFields

Methods for Gaussian Random Fields
RFsimulate

Simulation of Random Fields
RMcutoff

Gneiting's modification towards finite range
ExtremalGaussian

Extremal Gaussian process
RPprocess

Models for classes of random fields (RP commands)
RFcov

Evaluate Covariance and Variogram Functions
RFgetModelNames

Names of implemented covariance and variogram models
RMwave

Wave Covariance Model / Cardinal Sine
RMdivfree

Divfree Covariance Model
Square roots

Methods relying on square roots of the covariance matrix
RMexp

Exponential Covariance Model
RMS

Scaling operator
RMmatrix

Matrix operator
RFformula

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

Vector Covariance Model
RMave

Space-time moving average model
RFspatialPointsDataFrame-class

Class "RFspatialPointsDataFrame"
Distribution Families

Distribution families (RR commands)
RMbrownresnick

Tail correlation function of the Brown-Resnick process
RMmult

Multiplication of Random Field Models
RMmodel

Covariance and Variogram Models in RandomFields (RM commands)
RMcovariate

Model for covariates
RFratiotest

Likelihood ratio test
RFgui

Graphical User Interface For Fitting Covariance Models And Variograms
RMangle

Anisotropy matrix given by angle
RMepscauchy

Generalized Cauchy Family Covariance Model
RMid

Identical Model
RMnatsc

Natural scale
Spectral

Spectral turning bands method
RMintrinsic

Intrinsic Embedding Covariance Model
Spherical models

Covariance models valid on a sphere
RMfractgauss

Fractal Gaussian Model Family
RRmcmc

RRmcmc
RRunif

Random scaling used with balls
GSPSJ06

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

Internal models
RMmodelFit-class

Class "RMmodelFit"
RMbessel

Bessel Family Covariance Model
RFspatialGridDataFrame-class

Class "RFspatialGridDataFrame"
RMnsst

Non-Separable Space-Time model
RMpenta

Penta Covariance Model
RMqam

Quasi-arithmetic mean
RMcauchytbm

Modifications of the Cauchy Family Covariance Model
RFdistr

Evaluating distribution families
Smith

(Mixed) Moving Maxima
RMstable

Stable Family / Powered Exponential Model
RMgauss

Gaussian Covariance Model
RMeaxxa

Special models for rotation like fields
RMuser

User Defined Function
Brown-Resnick-Specific

Simulation methods for Brown-Resnick processes
RRrectangular

Random scaling used with balls
RMdewijsian

Modified DeWijsian Variogram Model
RMkolmogorov

Identical Model
RFfractaldim

RFfractaldimension
RMgennsst

Non-Separable Space-Time model
RFempiricalvariogram

Empirical (Cross-)Variogram
RRgauss

Random scaling used with balls
RMcauchy

Cauchy Family Covariance Model
RRspheric

Random scaling used with balls
RMmodelgenerator-class

Class RMmodelgenerator
RFsp-class

Class RFsp
RMstp

Single temporal process
Others

Auxiliary and other Models
Internal functions

Internal functions
Tail Correlation Funtioncs

Covariance models valid for max-stable random fields
RMmqam

multivariate quasi-arithmetic mean
RMwhittlematern

Whittle-Matern Covariance Model
RMspheric

The Spherical Covariance Model
RMrotat

Rotation matrices
RMtrafo

Transformation of coordinate systems
Strokorb's Functions

Tail correlation function of the Brown-Resnick process
RMtruncsupport

Random sign
Coins

Random coin method
RMqexp

Variant of the exponential model
weather

Pressure and temperature forecast errors over the Pacific Northwest
RMschur

Schur product
RMtrend

Trend Model
RPgauss

Simulation of Gaussian Random Fields
RandomFields-package

Simulation and Analysis of Random Fields
RMstein

Stein nonseparable space-time model
RPpoisson

Simulation of Random Fields
RPchi2

Simulation of a Chi2 Random Fields
RMbr2eg

Transformation from Brown-Resnick to Gauss
SBS14

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

Hyperplane method
Independent Variables

Method to simulate the Nugget effect
Specific

Methods that are specific to certain covariance models
Tbm

Turning Bands method
RRdistr

RRdistr
S10

On some covariance models based on normal scale mixtures
RPt

Simulation of a T Random Fields
Obsolete Functions

Obsolete functions
SS12

Covariance Models for Random Vector Fields
S02

Models for stationary max-stable random fields
RFpointsDataFrame-class

Class RFpointsDataFrame
soil

Soil data of North Bavaria, Germany
RMbigneiting

Gneiting-Wendland Covariance Models
RMiaco

Iaco-Cesare model
RMgengneiting

Gneiting-Wendland Covariance Models
sp2RF

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

RMpolygon
RMpower

Power operator for Variograms and Covariance functions
RFgetModelInfo

Internal information
RMdampedcos

Exponentially Damped Cosine
RMgneitingdiff

Gneiting Covariance Model Used as Tapering Function
RMmppplus

Mixture of shape functions
RMflatpower

Variogram Model Similar to Fractal Brownian Motion
Extremal t

Extremal t process
Mathematial C functions

Transformation of coordinate systems
Major Revisions

Documentation of major changings
BrownResnick

Brown-Resnick process
Circulant Embedding

Circulant Embedding methods
RMtbm

Turning Bands Method
RRdeterm

Random scaling used with balls
RMfixcov

Fixed Covariance Matrix
jss14

Covariance models for multivariate and vector valued fields
RMball

RMball
RMplus

Addition of Random Field Models
RFfunction

Evaluation operators (RF commands)
RFhurst

Hurst coefficient
RMbr2bg

Transformation from Brown-Resnick to Bernoulli
RMaskey

Askey model
RMgencauchy

Generalized Cauchy Family Covariance Model
RRloc

Random scaling used with balls
fitgauss

Details on fitting Gaussian random fields
conventional2RFspDataFrame

Coercion to class 'RFsp' objects
Baysian

Baysian Spatial Modelling
RFinterpolate

Interpolation methods
RFoptions

Setting control arguments
RMlgd

Local-Global Distinguisher Family Covariance Model
RMmastein

Ma-Stein operator
RMnonstwm

RMnonstwm
papers

Papers involving RandomFields and co-authored by M. Schlather
RFfit

Fitting model parameters to spatial data (regionalised variables) and to linear (mixed) models
RFsp2conventional

coerce RFsp-class to conventional format
RMcurlfree

Curlfree Covariance Model
RMdagum

Dagum Covariance Model Family
RMdelay

Bivariate Delay Effect
RMfixed

Fixed Effect Model
RPbernoulli

Simulation of Binary Random Fields