View source: R/joint_independent_distributions.R
join.distributions | R Documentation |
Joins multiple Distribution objects into a single Distribution object, on the premise that the variables in each sub-distribution are independent of the variables in any other sub-distribution
join.distributions(..., var.names = NULL)
... |
One or more Distribution objects or lists of Distribution objects to be joined. If var.names are set on the component distributions, those names will be preserved. If not, and if the elements of ... are named (or elements in lists contained in ... are named), those names will be used as the var.names for the corresponding sub-distributions |
An object of class Joint_Independent_Distributions
Other Distribution Constructors:
Autoregressive.Multivariate.Normal.Distribution()
,
Bernoulli.Distribution()
,
Beta.Distribution()
,
Binomial.Distribution()
,
Canonical.Mixture.Distribution()
,
Compound.Symmetry.Multivariate.Normal.Distribution()
,
Constant.Distribution()
,
Discrete.Set.Distribution()
,
Empiric.Distribution()
,
Logitnormal.Distribution()
,
Logitnormal.Mixture()
,
Logituniform.Distribution()
,
Lognormal.Distribution()
,
Lognormal.Mixture()
,
Loguniform.Distribution()
,
Multivariate.Correlated.Uniform.Distribution()
,
Multivariate.Logitnormal.Distribution()
,
Multivariate.Lognormal.Distribution()
,
Multivariate.Normal.Distribution()
,
Normal.Distribution()
,
Normal.Mixture()
,
Smoothed.Empiric.Distribution()
,
Transformed.Multivariate.Normal.Distribution()
,
Transformed.Normal.Distribution()
,
Transformed.Normal.Mixture()
,
Uniform.Distribution()
,
Univariate.Canonical.Distribution()
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