apportion_lr

Apportions a vector of values given a specified frequency
 distribution of those values such that the length of the output
 is robust to rounding and other instabilities.

Tools for simulating mathematical models of infectious disease dynamics.
Epidemic model classes include deterministic compartmental models, stochastic
individual-contact models, and stochastic network models. Network models use the
robust statistical methods of exponential-family random graph models (ERGMs)
from the Statnet suite of software packages in R. Standard templates for epidemic
modeling include SI, SIR, and SIS disease types. EpiModel features an API for
extending these templates to address novel scientific research aims. Full
methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).

Samuel Jenness

EpiModel

Mathematical Modeling of Infectious Disease Dynamics

Steven M. Goodreau

Martina Morris

Adrien Le Guillou

Skye Bender-deMoll

Chad Klumb

apportion_lr function

<dl><dt>vector.length</dt>
<dd>Length for the output vector.</dd>
<dt>values</dt>
<dd>Values for the output vector.</dd>
<dt>proportions</dt>
<dd>Proportion distribution with one number for each value.
This must sum to 1.</dd>
<dt>shuffled</dt>
<dd>If <code>TRUE</code>, randomly shuffle the order of the vector.</dd></dl>

Arguments

Apportion Least-Remainder Method — apportion_lr

<dl>

<dt>vector.length</dt>
<dd>Length for the output vector.</dd>


<dt>values</dt>
<dd>Values for the output vector.</dd>


<dt>proportions</dt>
<dd>Proportion distribution with one number for each value.
This must sum to 1.</dd>


<dt>shuffled</dt>
<dd>If <code>TRUE</code>, randomly shuffle the order of the vector.</dd>

</dl>

apportion_lr: Apportion Least-Remainder Method

Description

Usage

Arguments