Math-methods {distr} | R Documentation |
Methods for Functions from group ‘Math’ in Package ‘distr’
Description
Math-methods provide automatical generation of image distributions
for random variables transformed by functions from group
Math
Methods
- Math
signature(x = "AbscontDistribution")
: application of a mathematical function from groupMath
, e.g.sin
orexp
(includinglog, log10, gamma, lgamma, digamma
), to this absolutely continouos distribution- Math
signature(x = "DiscreteDistribution")
: application of a mathematical function, e.g. sin or exp (includinglog, log10, gamma, lgamma, digamma
), to this discrete distribution- Math
signature(x = "UnivarLebDecDistribution")
: application of a mathematical function from groupMath
, e.g.sin
orexp
(includinglog, log10, gamma, lgamma
), to this Lebesgue decomposed distribution- Math
signature(x = "UnivarLebDecDistribution")
: application of a mathematical function from groupMath
, e.g.sin
orexp
(includinglog, log10, gamma, lgamma
), to this distribution of class"AcDcLcDistribution"
- abs
signature(x = "AbscontDistribution")
: application of functionabs
to this absolutely continouos distribution; (exactly)- abs
signature(x = "DiscreteDistribution")
: application of functionabs
to this discrete distribution; (exactly)- sign
signature(x = "AbscontDistribution")
: application of functionabs
to this absolutely continouos distribution; (exactly)- sign
signature(x = "DiscreteDistribution")
: application of functionabs
to this discrete continouos distribution; (exactly)- exp
signature(x = "AbscontDistribution")
: application of functionexp
to this absolutely continouos distribution; (exactly)- exp
signature(x = "DiscreteDistribution")
: application of functionexp
to this discrete distribution; (exactly)- log
signature(x = "AbscontDistribution")
: application of functionlog
to this absolutely continouos distribution; (exactly for R-version>2.5.1
)- log
signature(x = "DiscreteDistribution")
: application of functionlog
to this discrete distribution; (exactly for R-version>2.5.1
)