Normal.Mixture: Create a Mixture of Univariate Normal Distributions

In tfojo1/distributions:

Create a Mixture of Univariate Normal Distributions

Description

Create a Mixture of Univariate Normal Distributions

Usage

Normal.Mixture(
  means = 0,
  sds = 1,
  weights = 1,
  lower = -Inf,
  upper = Inf,
  var.name = NULL
)

Arguments

means, sds	The means and standard deviations of each component of the mixture
weights	The weights applied to each component of the mixture. Weights need not be normalized to sum to 1. If a scalar value is given, all components of the mixture will have the same weight
lower, upper	The lower and the upper bounds, if this is a bounded distribution (the same bounds apply for all components of the mixture)

See Also

Other Canonical Mixture Distribution Constructors: Logitnormal.Mixture(), Lognormal.Mixture(), Transformed.Normal.Mixture()

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(), 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.