Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
|Author||Zehang Li, Tyler McCormick, Sam Clark|
|Date of publication||2017-01-06 23:21:38|
|Maintainer||Zehang Li <email@example.com>|
causetext: Translation list of COD codes
condprob: Conditional probability table used by InterVA-4
condprobnum: Conditional probability values used by InterVA-4
csmf.diag: Convergence test for fitted InSilico model
extract.prob: Obtain conditional probabilities from training data
get.indiv: Get individual COD probabilities from InSilicoVA Model Fits
indivplot: plot aggregated COD distribution
insilico: Implement InSilicoVA methods
insilico.fit: Implement InSilicoVA methods with more flexible customization
insilico.train: Modified InSilicoVA methods with training data
InsilicoVA-package: Perform InSilicoVA algorithm and provide graphical...
physician_debias: Implement physician debias algorithm
plot.insilico: plot CSMF from a "insilico" object
probbase: Conditional probability of InterVA4
probbase3: Conditional probability of InterVA4.03
RandomPhysician: 100 records of Sample Input together with two simulated...
RandomVA1: 1000 records of Sample Input
SampleCategory: Correspondence between InterVA causes and the physician coded...
SamplePhysician: 100 records of Sample debiased physician codes
stackplot: plot grouped CSMF from a "insilico" object
summary.insilico: Summarizing InSilicoVA Model Fits
updateIndiv: Update individual COD probabilities from InSilicoVA Model...