fit_mle: Fit a distribution to data

In alexpghayes/distributions: Probability Distributions as S3 Objects

Description

Approximates an empirical distribution with a theoretical one

Usage

fit_mle(d, x, ...)

Arguments

d	A probability distribution object such as those created by a call to Bernoulli(), Beta(), or Binomial().
x	A vector of data to compute the likelihood.
...	Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

A distribution (the same kind as d) where the parameters are the MLE estimates based on x.

Examples

X <- Normal()

fit_mle(X, c(-1, 0, 0, 0, 3))

alexpghayes/distributions documentation built on April 8, 2021, 5:55 a.m.