View source: R/discrete_set_distributions.R
Discrete.Set.Distribution | R Documentation |
Creates an object representing a discrete probability distribution over an arbitrary set of numbers
Discrete.Set.Distribution(values, weights, var.name = NULL)
values |
The numeric set of values |
weights |
The weight given to the corresponding value. Need not sum to 1 |
var.name |
The name of the single variable in the distribution, or NULL if no name is specified |
Constant.Distribution
Other Discrete Distribution Constructors:
Constant.Distribution()
Other Distribution Constructors:
Autoregressive.Multivariate.Normal.Distribution()
,
Bernoulli.Distribution()
,
Beta.Distribution()
,
Binomial.Distribution()
,
Canonical.Mixture.Distribution()
,
Compound.Symmetry.Multivariate.Normal.Distribution()
,
Constant.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()
,
join.distributions()
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