Lognormal.Distribution: Create a Univariate Log-Normal Distribution Object

In tfojo1/distributions:

Create a Univariate Log-Normal Distribution Object

Description

Create a Univariate Log-Normal Distribution Object

Usage

Lognormal.Distribution(
  meanlog = 0,
  sdlog = 1,
  lower = 0,
  upper = Inf,
  var.name = NULL
)

Arguments

meanlog, sdlog	The mean and standard deviation (on the log scale) of the distribution
lower, upper	The lower and the upper bounds (on the original scale, NOT the log 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

See Also

Other Univariate Canonical Distribution Constructors: Bernoulli.Distribution(), Beta.Distribution(), Binomial.Distribution(), Canonical.Mixture.Distribution(), Logitnormal.Distribution(), Logituniform.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.Distribution(), Logitnormal.Mixture(), Logituniform.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()

tfojo1/distributions documentation built on July 27, 2024, 3:29 p.m.