View source: R/univariate_canonical_constructors.R
Binomial.Distribution | R Documentation |
Create a Univariate Binomial Distribution Object
Binomial.Distribution(n = 10, p = 0.5, lower = 0, upper = n, var.name = NULL)
n , p |
The size and probability parameters to the distribution (AKA size, prob in dbinom) |
lower , upper |
The lower and the upper bounds |
var.name |
The name of the single variable in the distribution, or NULL if no name is specified |
Other Univariate Canonical Distribution Constructors:
Bernoulli.Distribution()
,
Beta.Distribution()
,
Canonical.Mixture.Distribution()
,
Logitnormal.Distribution()
,
Logituniform.Distribution()
,
Lognormal.Distribution()
,
Loguniform.Distribution()
,
Normal.Distribution()
,
Transformed.Normal.Distribution()
,
Uniform.Distribution()
,
Univariate.Canonical.Distribution()
Other Distribution Constructors:
Autoregressive.Multivariate.Normal.Distribution()
,
Bernoulli.Distribution()
,
Beta.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()
,
join.distributions()
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