qgamma_mse

Use quantiles from a gamma distribution based on mean and se

Toolkit to support and perform discrete event simulations without
resource constraints in the context of health technology assessments (HTA).
The package focuses on cost-effectiveness modelling and aims to be submission-ready
to relevant HTA bodies in alignment with 'NICE TSD 15'
<https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>.
More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.

Javier Sanchez Alvarez

WARDEN

Workflows for Health Technology Assessments in R using Discrete
EveNts

Gabriel Lemyre

Valerie Aponte Ribero

qgamma_mse function

<dl><dt>q</dt>
<dd>Quantile to draw</dd>
<dt>mean_v</dt>
<dd>A vector of the mean values</dd>
<dt>se</dt>
<dd>A vector of the standard errors of the means</dd>
<dt>seed</dt>
<dd>An integer which will be used to set the seed for this draw.</dd></dl>

Arguments

Use quantiles from a gamma distribution based on mean and se — qgamma_mse

<dl>

<dt>q</dt>
<dd>Quantile to draw</dd>


<dt>mean_v</dt>
<dd>A vector of the mean values</dd>


<dt>se</dt>
<dd>A vector of the standard errors of the means</dd>


<dt>seed</dt>
<dd>An integer which will be used to set the seed for this draw.</dd>

</dl>

qgamma_mse: Use quantiles from a gamma distribution based on mean and se

Description

Usage

Value

Arguments

Examples