spelling, covr, knitr, rmarkdown, testthat (>= 3.0.0)

c(
person("Eunseop", "Kim", , "kim.7302@osu.edu", role = c("aut", "cre")),
person("Steven", "MacEachern", role = c("aut", "ths")),
person("Mario", "Peruggia", role = c("aut", "ths"))
)
Performs multiple empirical likelihood tests for linear and
generalized linear models.  The core computational routines are
implemented using the 'Eigen' C++ library and 'RcppEigen' interface,
with OpenMP for parallel computation. Details of multiple testing
procedures are given in Kim et al. (2021) <arxiv:2112.09206>.
covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)

c(
person("Eunseop", "Kim", , "kim.7302@osu.edu", role = c("aut", "cre")),
person("Steven", "MacEachern", role = c("ctb", "ths")),
person("Mario", "Peruggia", role = c("ctb", "ths"))
)
Performs multiple empirical likelihood tests for linear and
generalized linear models. The core computational routines are
implemented using the 'Eigen' C++ library and 'RcppEigen' interface,
with OpenMP for parallel computation. Details of multiple testing
procedures are given in Kim, MacEachern, and Peruggia (2021)
<arxiv:2112.09206>.
covr, ggplot2, knitr, microbenchmark, rmarkdown, spelling,
testthat (>= 3.0.0), withr
Eunseop Kim [aut, cre],
Steven MacEachern [ctb, ths],
Mario Peruggia [ctb, ths]

Performs multiple empirical likelihood tests for linear and
generalized linear models. The core computational routines are
implemented using the 'Eigen' C++ library and 'RcppEigen' interface,
with OpenMP for parallel computation. Details of multiple testing
procedures are given in Kim, MacEachern, and Peruggia (2021)
<arxiv:2112.09206>. This work was supported by the U.S. National
Science Foundation under Grants No. SES-1921523 and DMS-2015552.
covr, ggplot2, knitr, microbenchmark, R.rsp, rmarkdown,
spelling, testthat (>= 3.0.0), withr

c(
person("Eunseop", "Kim", , "kim.7302@osu.edu", role = c("aut", "cre")),
person("Steven", "MacEachern", role = c("ctb", "ths")),
person("Mario", "Peruggia", role = c("ctb", "ths")),
person("Pierre", "Chausse", role = "rev"),
person("Alex", "Stringer", role = "rev")
)
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 (2021) <arxiv:2112.09206>. This work was supported by the
U.S. National Science Foundation under Grants No.  SES-1921523 and
DMS-2015552.
Eunseop Kim [aut, cre],
Steven MacEachern [ctb, ths],
Mario Peruggia [ctb, ths],
Pierre Chausse [rev],
Alex Stringer [rev]