clothianidin

A dataset summarizing field experiments result of seed treatments on
clothianidin concentration.

datasets

Performs multiple empirical likelihood tests. It 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 provided
in Kim, MacEachern, and Peruggia (2023)
<doi:10.1080/10485252.2023.2206919>. A companion paper by Kim,
MacEachern, and Peruggia (2024) <doi:10.18637/jss.v108.i05> is
available for further information. This work was supported by the U.S.
National Science Foundation under Grants No. SES-1921523 and
DMS-2015552.

Eunseop Kim

melt

Multiple Empirical Likelihood Tests

Steven MacEachern

Mario Peruggia

Pierre Chausse

Alex Stringer

clothianidin function

A data frame with 102 observations and 3 variables:<dl>
<dt>blk</dt>
<dd>New blocks constructed from original data. The format is 'days
post planting_original block_year'.</dd><dt>trt</dt>
<dd>Seed treatment.</dd><dt>clo</dt>
<dd>Log transformed clothianidin concentration (µg).</dd>
</dl>

Format

Clothianidin concentration in maize plants — clothianidin

A data frame with 102 observations and 3 variables:<dl>
<dt>blk</dt>
<dd>New blocks constructed from original data. The format is 'days
post planting_original block_year'.</dd>

<dt>trt</dt>
<dd>Seed treatment.</dd>

<dt>clo</dt>
<dd>Log transformed clothianidin concentration (µg).</dd>


</dl>

clothianidin: Clothianidin concentration in maize plants

Description

Usage

Arguments

Format

Details

Examples