Classes
[*]: there is a generating function with the same name
##########################
ProbFamily classes
##########################
slots: [()]
name(character), distribution(Distribution),
distrSym(DistributionSymmetry), props(character)
"ProbFamily"
|>"ParamFamily" [*]
additional slots:
param(ParamFamParameter), modifyParam(function),
startPar(function), makeOKPar(function), fam.call(call)
|>|>"L2ParamFamily" [*]
additional slots:
L2deriv(EuclRandVarList), L2deriv.fct(function),
L2derivSymm(FunSymmList), L2derivDistr(DistrList),
L2derivDistrSymm(DistrSymmList), FisherInfo(PosSemDefSymmMatrix),
FisherInfo.fct(function)
|>|>|>"BinomFamily" [*]
|>|>|>"PoisFamily" [*]
|>|>|>"GammaFamily" [*]
|>|>|>"BetaFamily" [*]
|>|>|>"L2GroupParamFamily"
additional slots:
LogDeriv(function)
|>|>|>|>"L2LocationScaleUnion" /VIRTUAL/
additional slots:
locscalename(character)
|>|>|>|>|>"L2LocationFamily" [*]
|>|>|>|>|>|>"NormLocationFamily" [*]
|>|>|>|>|>|>"GumbelLocationFamily" [*]
|>|>|>|>|>"L2ScaleFamily" [*]
|>|>|>|>|>|>"NormScaleFamily" [*]
|>|>|>|>|>|>"ExpScaleFamily" [*]
|>|>|>|>|>|>"LnormScaleFamily" [*]
|>|>|>|>|>"L2LocationScaleFamily" [*]
|>|>|>|>|>|>"NormLocationScaleFamily" [*]
|>|>|>|>|>|>"CauchyLocationScaleFamily" [*]
##########################
ParamFamParameter
##########################
"ParamFamParameter" [*] is subclass of class "Parameter" of package "distr".
Additional slots:
main(numeric), nuisance(OptionalNumeric), fixed(OptionalNumeric),
trafo(MatrixorFunction)
##########################
Class unions
##########################
"OptionalNumeric" = union("numeric", "NULL")
"OptionalMatrix" = union("matrix", "NULL")
"MatrixorFunction" = union("matrix", "OptionalFunction")
"PrintDetails" = union("Estimate", "Confint",
"PosSemDefSymmMatrix",
"ParamFamParameter", "ParamFamily")
##########################
Symmetry classes
##########################
slots:
type(character), SymmCenter(ANY)
"Symmetry"
|>"NoSymmetry" [*]
|>"EllipticalSymmetry" [*]
|>|>"SphericalSymmetry" [*]
|>"DistributionSymmetry"
|>"FunctionSymmetry"
|>|>"NonSymmetric" [*]
|>|>"EvenSymmetric" [*]
|>|>"OddSymmetric" [*]
list thereof
"DistrSymmList" [*]
"FunSymmList" [*]
##########################
Matrix classes
##########################
slots:
none
"PosSemDefSymmMatrix" [*] is subclass of class "matrix" of package "base".
|>"PosDefSymmMatrix" [*]
##########################
Norm Classes
##########################
slots:
name(character), fct(function)
"NormType" [*]
|>"QFNorm" [*]
Additional slots:
QuadForm(PosSemDefSymmMatrix)
|>|>"InfoNorm" [*]
|>|>"SelfNorm" [*]
##########################
Bias Classes
##########################
slots:
name(character)
"BiasType"
|>"symmetricBias" [*]
|>"onesidedBias"
Additional slots:
sign(numeric)
|>"asymmetricBias" [*]
Additional slots:
nu(numeric)
##########################
Risk Classes
##########################
slots:
type(character)
"RiskType"
|>"asRisk"
|>|>"asCov" [*]
|>|>"trAsCov" [*]
|>"fiRisk"
|>|>"fiCov" [*]
|>|>"trfiCov" [*]
|>|>"fiHampel" [*]
Additional slots:
bound(numeric)
|>|>"fiMSE" [*]
|>|>"fiBias" [*]
|>|>"fiUnOvShoot" [*]
Additional slots:
width(numeric)
Risk with Bias:
"asRiskwithBias"
slots: biastype(BiasType), normtype(NormType),
|>"asHampel" [*]
Additional slots:
bound(numeric)
|>"asBias" [*]
|>"asGRisk"
|>|>"asMSE" [*]
|>|>"asUnOvShoot" [*]
Additional slots:
width(numeric)
|>|>"asSemivar" [*]
##########################
Estimate Classes
##########################
slots:
name(character), estimate(ANY),
samplesize(numeric), asvar(OptionalMatrix),
Infos(matrix), nuis.idx(OptionalNumeric)
fixed.estimate(OptionalNumeric),
estimate.call(call), trafo(list[of function, matrix]),
untransformed.estimate(ANY),
untransformed.asvar(OptionalMatrix)
criterion.fct(function), method(character),
"Estimate"
|>"MCEstimate",
Additional slots:
criterion(numeric)
##########################
Confidence interval class
##########################
slots:
type(character), confint(array),
estimate.call(call), name.estimate(character),
trafo.estimate(list[of function, matrix]),
nuisance.estimate(OptionalNumeric)
"Confint"Methods
besides accessor and replacement functions, we have
methods
solve, sqrt for matrices
checkL2deriv, existsPIC for class L2ParamFamily
LogDeriv for class L2GroupParamFamily
validParameter for classes ParamFamily, L2ScaleFamily,
L2LocationFamily, and L2LocationScaleFamily
modifyModel for the pairs of classes
L2ParamFamily and ParamFamParameter,
L2LocationFamily and ParamFamParameter,
L2ScaleFamily and ParamFamParameter,
L2LocationScaleFamily and ParamFamParameter,
GammaFamily and ParamFamParameter, and
ExpScaleFamily and ParamFamParameter
mceCalc for the pair of classes numeric and ParamFamily
mleCalc for the pairs of classes
numeric and ParamFamily,
numeric and BinomFamily,
numeric and PoisFamily,
numeric and NormLocationFamily,
numeric and NormScaleFamily, and
numeric and NormLocationScaleFamily
coerce from class MCEstimate to class mle
confint for class Estimate
profile for class MCEstimateFunctions
Management of global options:
"distrModOptions", "distrModoptions", "getdistrModOption",
check for ker of matrix: "isKerAinKerB"
particular norms: "EuclideanNorm", "QuadFormNorm"
onesided bias: "positiveBias", "negativeBias",
Estimators:
"Estimator", "MCEstimator", "MLEstimator", "MDEstimator"
special location/scale models:
"L2LocationUnknownScaleFamily", "L2ScaleUnknownLocationFamily"
some special normal models:
"NormScaleUnknownLocationFamily", "NormLocationUnknownScaleFamily",Start-up-Banner
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call into either suppressStartupMessages() or
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the start-up banner by wrapping the library or require
call into suppressPackageStartupMessages() from
startupmsg-version 0.5 on.Demos
Demos are available --- see demo(package="distrMod").Scripts
Example scripts are available --- see folder scripts
in the package folder to package distrMod in your library.