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()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.