csmf.nbc: Calculate predicted CSMFs from a NBC model

In nbc4va: Bayes Classifier for Verbal Autopsy Data

Description

Obtains the predicted Cause Specific Mortality Fraction (CSMF) from a result nbc object.

Usage

csmf.nbc(object)

Arguments

object

The result nbc object.

Value

out A numeric vector of the predicted CSMFs in which the names are the corresponding causes.

See Also

Other wrapper functions: topCOD.nbc

Examples

library(nbc4va)
data(nbc4vaData)

# Run naive bayes classifier on random train and test data
train <- nbc4vaData[1:50, ]
test <- nbc4vaData[51:100, ]
results <- nbc(train, test)

# Obtain the predicted CSMFs
predCSMF <- csmf.nbc(results)

nbc4va documentation built on May 2, 2019, 1:42 p.m.