Smoothed.Empiric.Distribution: Create an smoothed empiric distribution from a set of samples

In tfojo1/distributions:

Create an smoothed empiric distribution from a set of samples

Description

Create an smoothed empiric distribution from a set of samples

Usage

Smoothed.Empiric.Distribution(
  points,
  weights = 1,
  var.names = NULL,
  bandwidth.multipliers = 1
)

Arguments

points	A matrix of values, where each row represents one sample and each column represents one variable. If a numeric vector is passed, assumed to be samples from a univariate distribution
weights	A numeric vector of weights, one for each row in points
var.names	The names of the variables in the distribution. If NULL, uses the column names from points

See Also

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(), Transformed.Multivariate.Normal.Distribution(), Transformed.Normal.Distribution(), Transformed.Normal.Mixture(), Uniform.Distribution(), Univariate.Canonical.Distribution(), join.distributions()

tfojo1/distributions documentation built on June 1, 2025, 9:07 p.m.