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useDynLib(distr, .registration = TRUE, .fixes = "C_")
import("methods")
import("stats")
importFrom("grDevices", "dev.list", "dev.new", "xy.coords", "dev.off")
importFrom("graphics", "plot", "abline", "layout", "legend", "lines", "mtext", "par", "points", "title")
importFrom("MASS", "ginv")
importFrom("utils", "str")
importFrom("sfsmisc", "D1ss")
import("startupmsg")
export("Beta", "Binom", "Cauchy", "Chisq",
"Dirac","Exp", "DExp", "Fd", "Gammad",
"Geom", "Hyper", "Lnorm", "Logis",
"Nbinom", "Norm", "Pois", "RtoDPQ",
"RtoDPQ.d", "Td", "Unif", "Weibull", "Arcsine",
"distroptions", "getdistrOption", "simplifyr",
"Lattice", "DiscreteDistribution",
"EmpiricalDistribution",
"LatticeDistribution", "EuclideanSpace", "Reals",
"Naturals", "standardMethods",
"distrARITH", "distrMASK", "getLabel", "devNew")
export("AbscontDistribution")
export("DistrList", "UnivarDistrList")
export("makeAbscontDistribution")
exportClasses("rSpace", "EuclideanSpace", "Reals",
"Naturals")
exportClasses("Parameter")
exportClasses("OptionalParameter", "OptionalMatrix")
exportClasses("BetaParameter", "BinomParameter",
"CauchyParameter", "ChisqParameter",
"DiracParameter", "ExpParameter",
"FParameter", "GammaParameter",
"HyperParameter",
"LogisParameter", "LnormParameter",
"NbinomParameter", "NormParameter",
"PoisParameter", "TParameter",
"UnifParameter", "WeibullParameter",
"UniNormParameter")
exportClasses("Distribution")
exportClasses("UnivariateDistribution", "AbscontDistribution",
"DiscreteDistribution", "LatticeDistribution",
"AffLinAbscontDistribution", "AffLinDiscreteDistribution",
"AffLinLatticeDistribution", "AffLinDistribution", "Lattice",
"Beta", "Binom", "Cauchy", "Chisq", "Dirac",
"DExp", "Exp", "Fd", "Gammad", "Geom",
"Hyper", "Logis", "Lnorm", "Nbinom", "Norm",
"Pois", "Td", "Unif", "Weibull", "Arcsine",
"ExpOrGammaOrChisq")
exportClasses("UnivDistrListOrDistribution")
exportClasses("CompoundDistribution")
exportClasses("DistrList",
"UnivarDistrList")
exportClasses("OptionalNumeric", "PosSemDefSymmMatrix",
"PosDefSymmMatrix",
"Symmetry", "DistributionSymmetry",
"NoSymmetry", "EllipticalSymmetry", "SphericalSymmetry",
"DistrSymmList")
exportMethods("Max", "Max<-", "Min", "Min<-", "d", "df",
"df<-", "df1", "df1<-", "df2",
"df2<-", "dimension", "dimension<-", "name",
"name<-", "img", "k", "k<-",
"lambda", "lambda<-", "liesIn", "location",
"location<-", "m", "m<-", "mean",
"mean<-", "meanlog", "meanlog<-", "n",
"n<-", "ncp", "ncp<-", "p", "param",
"prob", "prob<-", "q", "r", "rate", "p.l", "q.r",
"rate<-", "scale", "scale<-", "sd", "sd<-",
"sdlog", "sdlog<-", "shape", "shape<-",
"shape1", "shape1<-", "shape2", "shape2<-",
"size", "size<-", "support", "initialize",
"print", "plot", "+", "-", "/", "*", "coerce",
"Math", "log", "log10", "gamma", "lgamma", "digamma",
"dim", "show", "convpow", "pivot", "sign",
"lattice", "width", "Length", "pivot<-",
"width<-", "Length<-", "liesInSupport",
"isOldVersion", "conv2NewVersion", "gaps",
"gaps<-", "setgaps", "getLow", "getUp")
exportClasses("UnivarMixingDistribution",
"UnivarLebDecDistribution",
"AffLinUnivarLebDecDistribution",
"AcDcLcDistribution")
exportMethods("mixCoeff", "mixCoeff<-", "mixDistr", "mixDistr<-",
"discretePart", "discretePart<-", "acPart", "acPart<-",
"discreteWeight", "discreteWeight<-", "acWeight", "acWeight<-",
"p.discrete", "d.discrete", "q.discrete", "r.discrete",
"p.ac", "d.ac", "q.ac", "r.ac", "p.r", "q.l")
exportMethods("decomposePM", "simplifyD", "showobj")
exportMethods("Truncate","Minimum","Maximum","Huberize")
exportMethods("solve", "sqrt")
exportMethods("type", "SymmCenter", "Symmetry", ".logExact", ".lowerExact")
export("UnivarMixingDistribution", "UnivarLebDecDistribution")
export("RtoDPQ.LC", "flat.LCD", "flat.mix")
exportMethods("abs","exp","^")
exportMethods("NumbOfSummandsDistr","SummandsDistr")
export("CompoundDistribution")
export("PosDefSymmMatrix","PosSemDefSymmMatrix")
export("NoSymmetry", "EllipticalSymmetry", "SphericalSymmetry",
"DistrSymmList")
export("qqbounds","igamma")
exportMethods("qqplot")
export(".isEqual",".isEqual01", ".inArgs", ".fillList",
".presubs", ".makeLenAndOrder", ".DistrCollapse")
export("samplesize", "distribution", "samplesize<-")
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