onMLE
onMLE is a software package for estimating parameters of statistical models using various maximum likelihood estimation (MLE) techniques. It is designed to be a flexible and efficient tool for researchers and practitioners working with probabilistic models. The package aims to provide a unified interface for implementing common MLE algorithms, catering to a range of statistical distributions and model structures.
Key features of onMLE include support for both unconstrained and constrained optimization. It allows users to
onMLE is particularly useful in fields such as econometrics, machine learning, and biostatistics, where model fitting