GenerateNondiseased: Generation of upsampled non-diseased subjects titers
In PoDBAY: Vaccine Efficacy Estimation Package

Description Usage Arguments Details Value Examples

Function upsamples (by random sampling with replacement) titers from the immunogenicity subset to the required size.

If the size of the immunogenicity subset matches the required size, nothing happens and the original titers from the immunogenicity subset are returned.

1	GenerateNondiseased(blindNondiseasedTiters, nondiseasedCount)

`blindNondiseasedTiters`	numeric vector: vector of non-diseased subjects titer values
`nondiseasedCount`	numeric: total number of non-diseased subjects, required size of the non-diseased population

The inputs should come from immunogenicity subset. "nondiseasedCount" represents number of all non-diseased patients in the clinical trial.

Immunogenicity subset populations are obtained from function BlindSampling. Immunogenicity subset represents a sample from the non-diseased population.

In this function, sampling with replacement to the required "nondiseasedCount" of the immunogenecitry subset is performed. The function is used inside PoDParamEstimation function.

nondiseasedTiters: numeric vector of all non-diseased subjects titers

## Data preparation
data(nondiseased)

## Example 1
# Creating imunogenicity subset, method = "Full"
NondiseasedImmunogenicitySubset <- 
    ImmunogenicitySubset(diseased, 
                         nondiseased, 
                         method = list(name = "Full", 
                                       value = "NA"))

# Number of all non-diseased subjects in the clinical trial
nondiseasedGenerationCount <- nondiseased$N

# Upsampling of non-diseased titers
GenerateNondiseased(NondiseasedImmunogenicitySubset$titers, nondiseasedGenerationCount)