fitGrowthnlrq

Helper function generally called from fitGrowth.

Analyse common types of plant phenotyping data, provide a simplified interface
to longitudinal growth modeling and select Bayesian statistics,
and streamline use of 'PlantCV' output.
Several Bayesian methods and reporting guidelines for Bayesian methods are described in
Kruschke (2018) <doi:10.1177/2515245918771304>,
Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.

Josh Sumner

pcvr

Plant Phenotyping and Bayesian Statistics

Jeffrey Berry

Noah Fahlgren

Donald Danforth Plant Science Center 

fitGrowthnlrq function

<dl><dt>ss</dt>
<dd>A list generated by <code>growthSS</code>.</dd>
<dt>cores</dt>
<dd>Optionally specify how many cores to run in parallel if ss$taus is &gt;1L.
Defaults to 1 if mc.cores option is not set globally.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="/link/quantreg%3A%3Anlrq?package=pcvr&version=1.2.0" data-mini-rdoc="pcvr::quantreg::nlrq">quantreg::nlrq</a></code>.</dd></dl>

Arguments

Ease of use nlrq wrapper function for fitting growth models specified by growthSS — fitGrowthnlrq

<dl>

<dt>ss</dt>
<dd>A list generated by <code>growthSS</code>.</dd>


<dt>cores</dt>
<dd>Optionally specify how many cores to run in parallel if ss$taus is &gt;1L.
Defaults to 1 if mc.cores option is not set globally.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://rdrr.io/pkg/quantreg/man/nlrq.html'>quantreg::nlrq</a></code>.</dd>

</dl>

fitGrowthnlrq: Ease of use nlrq wrapper function for fitting growth models specified by `growthSS`

Description

Usage

Value

Arguments