param.distributed: Define a parameter with a known probability distribution

In paleolimbot/easyoptim: Easy Muti-Parameter Optimisation

Description

Define a parameter with a known probability distribution

Usage

param.distributed(type = c("norm", "beta", "binom", "cauchy", "chisq", "exp",
  "f", "gamma", "geom", "hyper", "lnorm", "logis", "multinom", "nbinom", "pois",
  "signrank", "t", "unif", "weibull", "wilcox", "birthday", "tukey"),
  args = list(), initial = NULL, ...)

param.distr.int(type = c("norm", "beta", "binom", "cauchy", "chisq", "exp",
  "f", "gamma", "geom", "hyper", "lnorm", "logis", "multinom", "nbinom", "pois",
  "signrank", "t", "unif", "weibull", "wilcox", "birthday", "tukey"),
  args = list(), initial = NULL, ...)

Arguments

type	The type of probability distrubtion. This is used to call the functions 'rTYPE' and 'dTYPE' (e.g, rnorm and dnorm), which are used by various optimisation algorithms.
args	A named list of arguments to pass to rTYPE and dTYPE (e.g., mean, sd).
initial	The initial value or NULL.
...	Additional arguments to be used in optimisation methods.

Value

An object of type 'param.distributed'

See Also

param.normal, param.real

Examples

param.distributed("norm", args=list(mean=12, sd=2))
# is the same as
param.normal(mean=12, sd=2)

paleolimbot/easyoptim documentation built on May 24, 2019, 6:12 p.m.