View source: R/univariate_canonical_constructors.R
Logitnormal.Distribution | R Documentation |
Create a Univariate Logit-Normal Distribution Object
Logitnormal.Distribution(
meanlogit,
sdlogit,
lower = 0,
upper = 1,
var.name = NULL
)
meanlogit , sdlogit |
The mean and standard deviation (on the logit scale) of the distribution |
lower , upper |
The lower and the upper bounds (on the original scale, NOT the logit scale), if this is a bounded distribution |
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()
,
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()
,
Binomial.Distribution()
,
Canonical.Mixture.Distribution()
,
Compound.Symmetry.Multivariate.Normal.Distribution()
,
Constant.Distribution()
,
Discrete.Set.Distribution()
,
Empiric.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()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.