Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Convergence test for fitted InSilico model
Obtain conditional probabilities from training data
Get individual COD probabilities from InSilicoVA Model Fits
plot aggregated COD distribution
Implement InSilicoVA methods with more flexible customization
Implement InSilicoVA methods
Modified InSilicoVA methods with training data
Message to set heap size for Java
Map ICD-10 codes into the WHO 2016 cause list
Implement physician debias algorithm
plot CSMF from a "insilico" object
Print method for summarizing InSilicoVA Model Fits
Print method for summarizing InSilicoVA Model Fits
100 records of Sample Input
plot grouped CSMF from a "insilico" object
Summarizing InSilicoVA Model Fits
Update individual COD probabilities from InSilicoVA Model Fits
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 'InterVA' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
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