cal.ols

Fit OLS regression models on a given calibration dataset

Simulating synthetic clumped isotope dataset, fitting
linear regression models under Bayesian and non-Bayesian frameworks,
and generating temperature reconstructions for the same two approaches.
Please note that models implemented in this package are described
in Roman-Palacios et al. (2021) <doi:10.1002/essoar.10507995.1>.

Cristian Roman Palacios

bayclumpr

Bayesian Analysis of Clumped Isotope Datasets

Hannah M. Carroll

Aradhna Tripati

cal.ols function

<dl><dt>data</dt>
<dd>The calibration dataset</dd>
<dt>replicates</dt>
<dd>Number of bootstrap replicates</dd>
<dt>samples</dt>
<dd>Number of samples per bootstrap replicate</dd></dl>

Arguments

Fit OLS regression models on a given calibration dataset — cal.ols

<dl>

<dt>data</dt>
<dd>The calibration dataset</dd>


<dt>replicates</dt>
<dd>Number of bootstrap replicates</dd>


<dt>samples</dt>
<dd>Number of samples per bootstrap replicate</dd>

</dl>

cal.ols: Fit OLS regression models on a given calibration dataset

Description

Usage

Value

Arguments