melt-package: melt: Multiple Empirical Likelihood Tests

In melt: Multiple Empirical Likelihood Tests

melt: Multiple Empirical Likelihood Tests

Description

Performs multiple empirical likelihood tests for linear and generalized linear models. The package offers an easy-to-use interface and flexibility in specifying hypotheses and calibration methods, extending the framework to simultaneous inferences. The core computational routines are implemented using the 'Eigen' C++ library and 'RcppEigen' interface, with OpenMP for parallel computation. Details of the testing procedures are given in Kim, MacEachern, and Peruggia (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10485252.2023.2206919")}. This work was supported by the U.S. National Science Foundation under Grants No. SES-1921523 and DMS-2015552.

Author(s)

Maintainer: Eunseop Kim [e-mail]

Other contributors:

• Steven MacEachern [contributor, thesis advisor]

• Mario Peruggia [contributor, thesis advisor]

• Pierre Chausse [reviewer]

• Alex Stringer [reviewer]

References

Kim E, MacEachern S, Peruggia M (2021). “Empirical Likelihood for the Analysis of Experimental Designs.” arxiv:2112.09206. URL https://arxiv.org/abs/2112.09206.

See Also

Useful links:

• https://docs.ropensci.org/melt/

• https://github.com/ropensci/melt

• Report bugs at https://github.com/ropensci/melt/issues

melt documentation built on May 31, 2023, 7:12 p.m.