| Math-methods | R Documentation |
Math-methods provide automatical generation of image distributions
for random variables transformed by functions from group
Math
signature(x = "AbscontDistribution"): application of a
mathematical function from group Math, e.g.
sin or exp (including
log, log10, gamma, lgamma, digamma), to this
absolutely continouos distribution
signature(x = "DiscreteDistribution"): application of a
mathematical function, e.g. sin or exp (including
log, log10, gamma, lgamma, digamma), to this
discrete distribution
signature(x = "UnivarLebDecDistribution"): application of a
mathematical function from group Math, e.g.
sin or exp (including
log, log10, gamma, lgamma), to this
Lebesgue decomposed distribution
signature(x = "UnivarLebDecDistribution"): application of a
mathematical function from group Math, e.g.
sin or exp (including
log, log10, gamma, lgamma), to this
distribution of class "AcDcLcDistribution"
signature(x = "AbscontDistribution"): application of
function abs to this absolutely continouos distribution;
(exactly)
signature(x = "DiscreteDistribution"): application of
function abs to this discrete distribution;
(exactly)
signature(x = "AbscontDistribution"): application of
function abs to this absolutely continouos distribution;
(exactly)
signature(x = "DiscreteDistribution"): application of
function abs to this discrete continouos distribution;
(exactly)
signature(x = "AbscontDistribution"): application of
function exp to this absolutely continouos distribution;
(exactly)
signature(x = "DiscreteDistribution"): application of
function exp to this discrete distribution;
(exactly)
signature(x = "AbscontDistribution"): application of
function log to this absolutely continouos distribution;
(exactly for R-version >2.5.1)
signature(x = "DiscreteDistribution"): application of
function log to this discrete distribution;
(exactly for R-version >2.5.1)
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