R package maxLik. Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own models.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Kosmidis, Ioannis; Karlis, Dimitris: Model-based clustering using copulas with applications (2016)
- Salehi, Mahdi; Doostparast, Mahdi: Expressions for moments of order statistics and records from the skew-normal distribution in terms of multivariate normal orthant probabilities (2015)
- Singh, Bhupendra; Gupta, Puneet Kumar: Load-sharing system model and its application to the real data set (2012)
- Henningsen, Arne; Toomet, Ott: maxLik: a package for maximum likelihood estimation in R (2011)