lognorm_dist_def

<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=EpiNow2&version=1.7.0" alt="[Deprecated]"></a>
Generates a distribution definition when only parameter estimates
are available for log normal distributed parameters. See <code><a href="/link/rlnorm()?package=EpiNow2&version=1.7.0" data-mini-rdoc="EpiNow2::rlnorm()">rlnorm()</a></code> for
distribution information.

internal

Estimates the time-varying reproduction number,
rate of spread, and doubling time using a range of open-source tools
(Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and
current best practices (Gostic et al. (2020)
<doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some
of the limitations of naive implementations in a framework that is
informed by community feedback and is actively supported.

Sebastian Funk

EpiNow2

Estimate Real-Time Case Counts and Time-Varying Epidemiological
Parameters

Sam Abbott

Joel Hellewell

Katharine Sherratt

Katelyn Gostic

Joe Hickson

Hamada S. Badr

Michael DeWitt

James M. Azam

Robin Thompson

Sophie Meakin

James Munday

Nikos Bosse

Paul Mee

Peter Ellis

Pietro Monticone

Lloyd Chapman

Andrew Johnson

Kaitlyn Johnson

EpiForecasts 

lognorm_dist_def function

<dl><dt>mean</dt>
<dd>Numeric, log mean parameter of the gamma distribution.</dd>
<dt>mean_sd</dt>
<dd>Numeric, standard deviation of the log mean parameter.</dd>
<dt>sd</dt>
<dd>Numeric, log sd parameter of the gamma distribution.</dd>
<dt>sd_sd</dt>
<dd>Numeric, standard deviation of the log sd parameter.</dd>
<dt>max_value</dt>
<dd>Numeric, the maximum value to allow. Defaults to 120.
Samples outside of this range are resampled.</dd>
<dt>samples</dt>
<dd>Numeric, number of sample distributions to generate.</dd>
<dt>to_log</dt>
<dd>Logical, should parameters be logged before use.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a>
Generates a distribution definition when only parameter estimates
are available for log normal distributed parameters. See <code><a href='https://rdrr.io/r/stats/Lognormal.html'>rlnorm()</a></code> for
distribution information.

Generate a Log Normal Distribution Definition Based on Parameter Estimates — lognorm_dist_def

<dl>

<dt>mean</dt>
<dd>Numeric, log mean parameter of the gamma distribution.</dd>


<dt>mean_sd</dt>
<dd>Numeric, standard deviation of the log mean parameter.</dd>


<dt>sd</dt>
<dd>Numeric, log sd parameter of the gamma distribution.</dd>


<dt>sd_sd</dt>
<dd>Numeric, standard deviation of the log sd parameter.</dd>


<dt>max_value</dt>
<dd>Numeric, the maximum value to allow. Defaults to 120.
Samples outside of this range are resampled.</dd>


<dt>samples</dt>
<dd>Numeric, number of sample distributions to generate.</dd>


<dt>to_log</dt>
<dd>Logical, should parameters be logged before use.</dd>

</dl>

Generate a Log Normal Distribution Definition Based on Parameter Estimates

lognorm_dist_def: Generate a Log Normal Distribution Definition Based on Parameter Estimates

Description

Usage

Value

Arguments