mean_ci

<code>mean_ci</code>Function estimates CIs using nonparametric bootstrapping around a
mean estimate.

mean

Phenology

estimates

Generates Weibull-parameterized estimates of phenology for any percentile of
a distribution using the framework established in Cooke (1979)
<doi:10.1093/biomet/66.2.367>. Extensive testing against other
estimators suggest the weib_percentile() function is especially useful in
generating more accurate and less biased estimates of onset and offset
(Belitz et al. 2020) <doi:10.1111/2041-210X.13448>. Non-parametric
bootstrapping can be used to generate confidence intervals around those
estimates, although this is computationally expensive. Additionally, this
package offers an easy way to perform non-parametric bootstrapping to
generate confidence intervals for quantile estimates, mean estimates,
or any statistical function of interest.

Michael Belitz

phenesse

Estimate Phenological Metrics using Presence-Only Data

Caitlin Campbell

Daijiang Li

mean_ci function

<dl><dt>observations</dt>
<dd>A vector of observations given as numeric values</dd>
<dt>bootstraps</dt>
<dd>The number of bootstraps you want to run to create the CIs,
defaults to 100000</dd>
<dt>conf</dt>
<dd>The confidence level wanted. Defaults to 95% CI.</dd>
<dt>type</dt>
<dd>A vector of character strings representing the type of intervals
required to calculate the CI. Defaults to "bca". See ??boot.ci
for more information.</dd></dl>

Arguments

<ul>
<li><code>mean_ci</code>: Estimates CIs around a mean percentile estimate using
non-parametric bootstrapping from the boot package</li>
</ul>

Functions

Calculating the confidence intervals (CIs) of an arithmetic mean. — mean_ci

<dl>

<dt>observations</dt>
<dd>A vector of observations given as numeric values</dd>


<dt>bootstraps</dt>
<dd>The number of bootstraps you want to run to create the CIs,
defaults to 100000</dd>


<dt>conf</dt>
<dd>The confidence level wanted. Defaults to 95% CI.</dd>


<dt>type</dt>
<dd>A vector of character strings representing the type of intervals
required to calculate the CI. Defaults to "bca". See ??boot.ci
for more information.</dd>

</dl>

mean_ci: Calculating the confidence intervals (CIs) of an arithmetic mean.

Description

Usage

Value

Arguments

Functions

Examples