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()
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