View source: R/univariate_canonical_constructors.R
Transformed.Normal.Distribution | R Documentation |
Create a Distribution of a Random Variable that is Normal after an arbitrary transformation
Transformed.Normal.Distribution(
mean = 0,
sd = 1,
transformation = NULL,
lower = -Inf,
upper = Inf,
var.name = NULL
)
mean , sd |
The mean and standard deviation of the random variable (after transformation has been applied) |
lower , upper |
The lower and the upper bounds, if this is a bounded distribution. The bounds are on the ORIGINAL scale (before transformation). |
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()
,
Loguniform.Distribution()
,
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()
,
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.Mixture()
,
Uniform.Distribution()
,
Univariate.Canonical.Distribution()
,
join.distributions()
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