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Baysian Baysian Spatial Modelling
Changings Documentation of some further changings
Circulant Circulant Embedding methods
Coins Random coin method
CondSimu Obsolete functions
Direct Methods relying on square roots of the
covariance matrix
GSPSJ06 Fast and Exact Simulation of Large Gaussian
Lattice Systems in R2
Gaussian Methods for Gaussian Random Fields
Hyperplane Hyperplane method
MajorRevisions Documentation of major changings
Nugget Method to simulate the Nugget effect
Print Nice print function returning also the names
automatically
PrintModelList Information about the implemented covariance
models
RFcov Evaluate Covariance and Variogram Functions
RFcrossvalidate Fitting model parameters to spatial data
(regionalised variables) and to linear (mixed)
models
RFdistr Evaluating distribution families
RFempVariog-class Class 'RFempVariog'
RFempiricalvariogram Empirical (Cross-)Variogram
RFfit Fitting model parameters to spatial data
(regionalised variables) and to linear (mixed)
models
RFfit-class Class 'RFfit'
RFformula RFformula - syntax to design random field
models with trend or linear mixed models
RFfractaldim RFfractaldimension
RFfunction Evaluation operators (RF commands)
RFgetMethodNames Simulation Techniques
RFgetModelInfo Internal information
RFgetModelNames Names of implemented covariance and variogram
models
RFgridDataFrame-class Class 'RFgridDataFrame'
RFgui Graphical User Interface For Fitting Covariance
Models And Variograms
RFhurst Hurst coefficient
RFinterpolate Interpolation methods
RFoldstyle RFoldstyle
RFoptions Setting control arguments
RFoptionsAdvanced Setting control arguments of 'RandomFields' -
advanced examples
RFpointsDataFrame-class
Class 'RFpointsDataFrame'
RFratiotest Likelihood ratio test
RFsimulate Simulation of Random Fields
RFsimulate.more.examples
Further Examples for the Simulation of Random
Fields
RFsimulate.sophisticated.examples
Sophisticated Examples for the Simulation of
Random Fields
RFsimulateAdvanced Simulation of Random Fields - Advanced
RFsp-class Class 'RFsp'
RFspDataFrame2conventional
coerce RFsp-class to conventional format
RFspatialGridDataFrame-class
Class "RFspatialGridDataFrame"
RFspatialPointsDataFrame-class
Class "RFspatialPointsDataFrame"
RMS Scaling operator
RMangle Anisotropy matrix given by angle
RMaskey Askey model
RMave Space-time moving average model
RMball RMball
RMbcw Model bridging stationary and intrinsically
stationary processes
RMbernoulli Covariance Model for binary field based on a
Gaussian field
RMbessel Bessel Family Covariance Model
RMbigneiting Gneiting-Wendland Covariance Models
RMbiwm Full Bivariate Whittle Matern Model
RMbr2bg Transformation from Brown-Resnick to Bernoulli
RMbr2eg Transformation from Brown-Resnick to Gauss
RMbrownresnick Tail correlation function of the Brown-Resnick
process
RMcauchy Cauchy Family Covariance Model
RMcauchytbm Modifications of the Cauchy Family Covariance
Model
RMcircular Circular Covariance Model
RMconstant Constant Covariance Matrix
RMcoord Coordinates in the mixed model representation
RMcoxisham Cox Isham Covariance Model
RMcubic Cubic Covariance Model
RMcurlfree Curlfree Covariance Model
RMcutoff Gneiting's modification towards finite range
RMdagum Dagum Covariance Model Family
RMdampedcos Exponentially Damped Cosine
RMdelay Bivariate Delay Effect
RMdewijsian Modified DeWijsian Variogram Model
RMdivfree Divfree Covariance Model
RMeaxxa Special models for rotation like fields
RMepscauchy Generalized Cauchy Family Covariance Model
RMexp Exponential Covariance Model
RMexponential Exponential operator
RMfbm Variogram Model of Fractal Brownian Motion
RMfixed Fixed Effect Model
RMflatpower Variogram Model Similar to Fractal Brownian
Motion
RMfractdiff Fractionally Differenced Process Model
RMfractgauss Fractal Gaussian Model Family
RMgauss Gaussian Covariance Model
RMgencauchy Generalized Cauchy Family Covariance Model
RMgenfbm Generalized Fractal Brownian Motion Variogram
Model
RMgengneiting Gneiting-Wendland Covariance Models
RMgneiting Gneiting Covariance Model
RMgneitingdiff Gneiting Covariance Model Used as Tapering
Function
RMhyperbolic Generalized Hyperbolic Covariance Model
RMiaco Iaco-Cesare model
RMid Identical Model
RMintern Internal models
RMintexp Integral exponential operator
RMintrinsic Intrinsic Embedding Covariance Model
RMkolmogorov Identical Model
RMlgd Local-Global Distinguisher Family Covariance
Model
RMma Ma operator
RMmastein Ma-Stein operator
RMmatrix Matrix operator
RMmodel Covariance and Variogram Models in
'RandomFields' (RM commands)
RMmodel-class Class 'RMmodel'
RMmodelFit-class Class "RMmodelFit"
RMmodelgenerator-class
Class 'RMmodelgenerator'
RMmodelsAdvanced Advanced features of the mdoels
RMmppplus Mixture of shape functions
RMmqam multivariate quasi-arithmetic mean
RMmult Multiplication of Random Field Models
RMnatsc Natural scale
RMnonstwm RMnonstwm
RMnsst Non-Separable Space-Time model
RMnugget Nugget Effect Covariance Model
RMparswm Parsimonious Multivariate Whittle Matern Model
RMpenta Penta Covariance Model
RMplus Addition of Random Field Models
RMpolygon RMpolygon
RMpower Power operator for Variograms and Covariance
functions
RMqam Quasi-arithmetic mean
RMqexp Variant of the exponential model
RMrational Rational function
RMrotat Rotation matrices
RMschlather Covariance Model for binary field based on
Gaussian field
RMschur Schur product
RMsign Random sign
RMspheric Spherical Covariance Model
RMstable Stable Family / Powered Exponential Model
RMstein Stein nonseparable space-time model
RMstp Single temporal process
RMstrokorb Tail correlation function of the Brown-Resnick
process
RMtbm Turning Bands Method
RMtrafo Transformation of coordinate systems
RMtrend Trend Model
RMtruncsupport Random sign
RMuser User Defined Function
RMvector Vector Covariance Model
RMwave Wave Covariance Model / Cardinal Sine
RMwhittle Whittle-Matern Covariance Model
RPbernoulli Simulation of Binary Random Fields
RPbrmixed Simulation methods for Brown-Resnick processes
RPbrownresnick Brown-Resnick process
RPchi2 Simulation of a Chi2 Random Fields
RPgauss Simulation of Gaussian Random Fields
RPopitz Extremal t process
RPpoisson Simulation of Random Fields
RPprocess Models for classes of random fields (RP
commands)
RPschlather Extremal Gaussian process
RPsmith (Mixed) Moving Maxima
RPt Simulation of a T Random Fields
RR Distribution families (RR commands)
RRdeterm Random scaling used with balls
RRdistr RRdistr
RRgauss Random scaling used with balls
RRloc Random scaling used with balls
RRrectangular Random scaling used with balls
RRspheric Random scaling used with balls
RRunif Random scaling used with balls
RandomFields-package Simulation and Analysis of Random Fields
S02 Models for stationary max-stable random fields
S10 On some covariance models based on normal scale
mixtures
SBS14 Systematic co-occurrence of tail correlation
functions among max-stable processes
SS12 Covariance Models for Random Vector Fields
Specific Methods that are specific to certain covariance
models
Spectral Spectral turning bands method
Tbm Turning Bands method
constants Constants used in RandomFields (RC constants)
conventional2RFspDataFrame
Coercion to class 'RFsp' objects
fitgauss Details on fitting Gaussian random fields
jss14 Covariance models for multivariate and vector
valued fields
maxstable Simulation of Max-Stable Random Fields
maxstableAdvanced Simulation examples of advanced Max-Stable
Random Fields
papers Papers involving 'RandomFields' and co-authored
by M. Schlather
plot-method Methods for function 'plot' in package
'RandomFields'
rfGenerateModels Internal functions
soil Soil data of North Bavaria, Germany
sp2RF Transformation of an 'sp' object to an 'RFsp'
object
weather Pressure and temperature forecast errors over
the Pacific Northwest
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