mle: Constructor for making 'mle' objects, which provides a common...

View source: R/mle.R

mleR Documentation

Constructor for making 'mle' objects, which provides a common interface for maximum likelihood estimators.

Description

This MLE makes the asymptotic assumption by default. Other MLEs, like 'mle_boot', may not make this assumption.

Usage

mle(
  theta.hat,
  loglike = NULL,
  score = NULL,
  sigma = NULL,
  info = NULL,
  obs = NULL,
  nobs = NULL,
  superclasses = NULL
)

Arguments

theta.hat

the MLE

loglike

the log-likelihood of 'theta.hat' given the data

score

the score function evaluated at 'theta.hat'

sigma

the variance-covariance matrix of 'theta.hat' given that data

info

the information matrix of 'theta.hat' given the data

obs

observation (sample) data

nobs

number of observations in 'obs'

superclasses

class (or classes) with 'mle' as base


queelius/algebraic.mle documentation built on Jan. 29, 2025, 3:23 p.m.