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fit_mle

Fit a distribution to data


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))

distributions3

Probability Distributions as S3 Objects

v0.1.1
MIT + file LICENSE
Authors
Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Ralph Moller-Trane [aut], Emil Hvitfeldt [ctb] (<https://orcid.org/0000-0002-0679-1945>), Daniel Jordan [ctb], Bruna Wundervald [ctb]
Initial release

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