View source: R/univariate_canonical_constructors.R
Loguniform.Distribution | R Documentation |
Create a Log-Uniform Distribution Object
Loguniform.Distribution(min = 0, max = 1, var.name = NULL)
min , max |
The bounds of the distribution (on the original scale, NOT the log scale). If min is 0 or max is Inf, returns an improper log-uniform distribution (which returns 1/x for all densities, but cannot evaluate cdfs, quantiles, or generate random samples) |
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()
,
Binomial.Distribution()
,
Canonical.Mixture.Distribution()
,
Logitnormal.Distribution()
,
Logituniform.Distribution()
,
Lognormal.Distribution()
,
Normal.Distribution()
,
Transformed.Normal.Distribution()
,
Uniform.Distribution()
,
Univariate.Canonical.Distribution()
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()
,
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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