Automated Method for Verbal Autopsy


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Documentation for package ‘openVA’ version 1.2.0

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codeVA Running automated method on VA data
ConvertData Converting Input data with different coding scheme to standard format
ConvertData.phmrc Convert standard PHMRC data into binary indicator format
csmf_eava Calculate CSMF from EAVA::codEAVA output
DataEAVA 1,736 records of Sample Input
getCCC Calculate Overall chance-corrected concordance (CCC)
getCSMF Obtain CSMF from fitted model
getCSMF_accuracy Calculate CSMF accuracy
getIndivProb Extract individual distribution of cause of death
getPHMRC_url Get the URL to the PHMRC dataset
getTopCOD Extract the most likely cause(s) of death
grouping_eava_child Mapping for child causes of death to the list used by the EAVA algorithm.
grouping_eava_neonate Mapping for neonate causes of death to the list used by the EAVA algorithm.
interVA_train Extended InterVA method for non-standard input
NeonatesVA5 200 records of Sample Input
openVA_status Check openVA packages status
openVA_update Update openVA packages
plot.eava Create CSMF plot for EAVA::codEAVA output
plot.vacalibration Plot CSMF from a vacalibration object
plotVA Plot top CSMF for a fitted model
prepCalibration Convert the assigned causes to the format expected by vacalibration::vacalibration().
print.eava Print method for "eava" class.
print.eava_summary Print method for summarizing results from EAVA algorithm.
print.vacalibration Print method for vacalibration model fits
print.vacalibration_summary Print method for summarizing vacalibration results
RandomVA6 1,736 records of Sample Input
stackplotVA plot grouped CSMF from a "insilico" object
summary.eava Summary of results obtained by fitting the EAVA algorithm.
summary.vacalibration Summary of results obtained by vacalibration