Multinomial This option is for BGMW processes where each offspringĭistribution is a multinomial distribution with a random number of Respective, greater than zero, probability. Input data for each distribution, all d-dimensional vectors with their The offspring distributions, in this case, it is required as General This option is for BGWM processes without conditions over Watson process (BGWM) from its offspring distributions.įrom particular offspring distributions and taking into account aĭifferentiated algorithmic approach, we propose the following classes This function performs a simulation of a multi-type Bienayme - Galton Process with the number of individuals for every combination parent type. The name of the output file where the generated trajectory of the Generated trajectory of the process with the relative frequencies by type. Generated trajectory of the process with the number of descendents by type. Generated trajectory of the process with the number of individuals forĮvery combination parent type - descendent type. Logical value, if TRUE, the output object will include the ![]() Nonnegative integer vector of size d initial population by type. ![]() Positive integer, maximum lenght of the wanted trajectory. Of the Bienayme - Galton - Watson process (See details and examples).Ĭlass or family of the Bienayme - Galton - Watson process RBGWM ( dists, type = c ( "general", "multinomial", "independents" ), d, n, z0 = rep ( 1, d ), c.s = TRUE, tt.s = TRUE, rf.s = TRUE, file = NULL )
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