candidatesFung: Candidates with fungible costs

In jc-castillo/vaccineEarlyInvest: Investment in Early Manufacturing Capacity for Vaccines

Description

Based on summary data for candidates, finds the optimal order to select those candidates, as well as some statistics about them. Some of those statistics are computed by a Monte Carlo simulation.

Usage

candidatesFung(d, par, computeExpComp = F, seed = 10)

Arguments

d	Summary data with candidates
par	Parameters object with model parameters
computeExpComp	Whether to compute expected competition for all candidates for all numbers of potential competitors
seed	Seed for random generator

Value

List with two data.tables. dordered lists all the candidates in the optimal order and with some statistics. dcanddraws includes all the random draws and their outcomes.

Examples

par = Parameters$new()
d = loadData(par = par)
d$Target = 'Others'
d$Target[1:5] = 'Spike'
d$Target[6:10] = 'Recombinant'
candidate = candidatesFung(d, par)

jc-castillo/vaccineEarlyInvest documentation built on Sept. 29, 2020, 12:48 p.m.