| 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.sinorexp(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.sinorexp(includinglog, log10, gamma, lgamma), to this Lebesgue decomposed distribution- Math
signature(x = "UnivarLebDecDistribution"): application of a mathematical function from groupMath, e.g.sinorexp(includinglog, log10, gamma, lgamma), to this distribution of class"AcDcLcDistribution"- abs
signature(x = "AbscontDistribution"): application of functionabsto this absolutely continouos distribution; (exactly)- abs
signature(x = "DiscreteDistribution"): application of functionabsto this discrete distribution; (exactly)- sign
signature(x = "AbscontDistribution"): application of functionabsto this absolutely continouos distribution; (exactly)- sign
signature(x = "DiscreteDistribution"): application of functionabsto this discrete continouos distribution; (exactly)- exp
signature(x = "AbscontDistribution"): application of functionexpto this absolutely continouos distribution; (exactly)- exp
signature(x = "DiscreteDistribution"): application of functionexpto this discrete distribution; (exactly)- log
signature(x = "AbscontDistribution"): application of functionlogto this absolutely continouos distribution; (exactly for R-version>2.5.1)- log
signature(x = "DiscreteDistribution"): application of functionlogto this discrete distribution; (exactly for R-version>2.5.1)