pointEstimate

This function computes a point estimate from a numeric vector,
returning either the median or the mean as a percentage.

A toolkit for causal inference in experimental and observational
studies. Implements various simple Bayesian models including linear,
negative binomial, and logistic regression for impact estimation.
Provides functionality for randomization and checking baseline equivalence
in experimental designs. The package aims to simplify the process of
impact measurement for researchers and analysts across different fields.
Examples and detailed usage instructions are available at
<https://book.martinez.fyi>.

Ignacio Martinez

Impact Measurement Toolkit

pointEstimate function

<dl><dt>x</dt>
<dd>A numeric vector containing the data from which to calculate the point estimate.</dd>
<dt>median</dt>
<dd>A logical value indicating whether to use the median (default: <code>TRUE</code>)
or the mean (<code>FALSE</code>) as the point estimate.</dd></dl>

Arguments

Calculate Point Estimate (Median or Mean) as Percentage — pointEstimate

<dl>

<dt>x</dt>
<dd>A numeric vector containing the data from which to calculate the point estimate.</dd>


<dt>median</dt>
<dd>A logical value indicating whether to use the median (default: <code>TRUE</code>)
or the mean (<code>FALSE</code>) as the point estimate.</dd>

</dl>

pointEstimate: Calculate Point Estimate (Median or Mean) as Percentage

Description

Usage

Value

Arguments

Details