fit_mle: Fit a distribution to data

In distributions3: Probability Distributions as S3 Objects

Fit a distribution to data

Description

Generic function for fitting maximum-likelihood estimates (MLEs) of a distribution based on empirical data.

Usage

fit_mle(d, x, ...)

Arguments

d	An object. The package provides methods for distribution objects such as those from Normal() or Binomial() etc.
x	A vector of data to compute the likelihood.
...	Arguments passed to methods. 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 documentation built on Sept. 30, 2024, 9:37 a.m.