ssample

Provides a sampling function useful for dynamic simulations, in
which the length of the input vector may be multiple lengths and
the size of the sample may be 0.

internal

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

Chad Klumb

Skye Bender-deMoll

ssample function

<dl><dt>x</dt>
<dd>Either a vector of one or more elements from which to choose, or a
positive integer.</dd>
<dt>size</dt>
<dd>Non-negative integer giving the number of items to choose.</dd>
<dt>replace</dt>
<dd>Should sampling be with replacement?</dd>
<dt>prob</dt>
<dd>Vector of probability weights for obtaining the elements of the
vector being sampled.</dd></dl>

Arguments

Stable Sampling Function — ssample

<dl>

<dt>x</dt>
<dd>Either a vector of one or more elements from which to choose, or a
positive integer.</dd>


<dt>size</dt>
<dd>Non-negative integer giving the number of items to choose.</dd>


<dt>replace</dt>
<dd>Should sampling be with replacement?</dd>


<dt>prob</dt>
<dd>Vector of probability weights for obtaining the elements of the
vector being sampled.</dd>

</dl>

ssample: Stable Sampling Function

Description

Usage

Value

Arguments