\name{LBI-package}
\alias{LBI-package}
\alias{LBI}
\docType{package}
\title{Likelihood Based Inference}
\description{
It conducts likelihood based inference.
}
\details{
  Modern likelihood concept and maximum likelihood estimation are established by Fisher RA, while Likelihood Ratio Test (LRT) is established by Neyman J. Post-Fisher methods - generalized linear model, survival analysis, and mixed effects model - are all likelihood based. Inferences from the perspective of Fisherian and pure likelihoodist are suggested here.
}
\author{Kyun-Seop Bae <k@acr.kr>}

\references{
\enumerate{
\item Wilks SS. The Large-sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses. Ann Math Stat. 1938;9(1):60-62.
\item Edwards AWF. Likelihood. 1972.
\item Fisher RA. Statistical Methods and Scientific Inference. 3e. 1973.
\item Bates DM, Watts DG. Nonlinear Regression Analysis and its Application. 1988.
\item Ruppert D, Cressie N, Carroll RJ. A Transformation/Weighting Model for Estimating Michaelis-Menten Parameters. Cornell University Technical Report 796. 1988.
\item Royall R. Statistical Evidence. 1997.
\item Pinheiro JC, Bates DM. Mixed Effects Models in S and S-PLUS. 2000.
\item Pawitan Y. In All Likelihood: Statistical Modelling and Inference Using Likelihood. 2001.
\item Lehmann EL. Fisher, Nayman, and the Creation of Classical Statistics. 2011.
\item Rohde CA. Introductory Statistical Inference with the Likelihood Function. 2014.
\item Held L, Bov\eacute{} DS. Likelihood and Bayesian Inference. 2020.
}
}
