getCSMF_accuracy

Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. The methods implemented include 'InterVA4' by Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015) <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015) <doi:10.1186/s12916-015-0527-9>. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics. The 'NBC' method is implemented by the 'nbc4va' package that can be installed from <https://github.com/rrwen/nbc4va>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist in the implementation of the 'Tariff' method.

Zehang Li

openVA

Automated Method for Verbal Autopsy

getCSMF_accuracy function

<dl><dt>csmf</dt>
<dd>a CSMF vector from <code>getCSMF</code> or a InSilicoVA fitted object.</dd>
<dt>truth</dt>
<dd>a CSMF vector of the true CSMF.</dd>
<dt>undet</dt>
<dd>name of the category denoting undetermined causes. Default to be NULL. If undetermined cause is present, it will be removed and the rest of the CSMF will be re-normalized to sum to 1.</dd></dl>

Arguments

Calculate CSMF accuracy — getCSMF_accuracy

<dl>

<dt>csmf</dt>
<dd>a CSMF vector from <code>getCSMF</code> or a InSilicoVA fitted object.</dd>


<dt>truth</dt>
<dd>a CSMF vector of the true CSMF.</dd>


<dt>undet</dt>
<dd>name of the category denoting undetermined causes. Default to be NULL. If undetermined cause is present, it will be removed and the rest of the CSMF will be re-normalized to sum to 1.</dd>

</dl>

getCSMF_accuracy: Calculate CSMF accuracy

Description

Usage

Value

Arguments

See Also

Examples