proportional_change

Calculates the proportional change for two sets of numbers.

Functions to 'numericise' 'R' objects (coerce to numeric
objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and
calculate deviance residuals as well as 'R' translations of some
'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs
Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.

Nicole Hill

extras

Helper Functions for Bayesian Analyses

Joe Thorley

Kirill Müller

Nadine Hussein

Poisson Consulting 

proportional_change function

<dl><dt>x</dt>
<dd>A numeric object (vector, matrix or array) of non-negative numbers.</dd>
<dt>x2</dt>
<dd>A second numeric object of non-negative numbers.</dd></dl>

Arguments

Proportional Change — proportional_change

<dl>

<dt>x</dt>
<dd>A numeric object (vector, matrix or array) of non-negative numbers.</dd>


<dt>x2</dt>
<dd>A second numeric object of non-negative numbers.</dd>

</dl>

proportional_change: Proportional Change

Description

Usage

Value

Arguments

See Also

Examples