portfolioPriceTaker: Optimal portfolio for a price taker

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

Description

Computes the optimal portfolio for a price-taking country. This is done by calling optimisation function optimizeGrid() by optimising using decreasing step sizes (see step) on benefits function countryNetBenefits()

Usage

portfolioPriceTaker(
  parameters = NULL,
  population,
  gdp_pc,
  frac_high_risk,
  loss2yr,
  price,
  steps = c(10, 1, 0.1),
  candidateFile = NULL,
  lambda = 1,
  return_benefit_args = FALSE
)

Arguments

parameters	Parameters object with model parameters
population	Country population (in millions)
gdp_pc	Country GDP per capita (in thousand $)
frac_high_risk	Fraction of population that is high risk
loss2yr	Cumulative percent of GDP lost because of pandemic over two years
price	Market price for manufacturing capacity ($ per course / year)
steps	Steps to optimize over. By default three step-sizes are used in succession: 10, 1 and 0.1.
candidateFile	File with candidate data
lambda	Lagrange multiplier. Should be one, unless trying to solve problem with constrained budget.
return_benefit_args	if TRUE, then an extra object is returned, that can then be used as input to countryNetBenefits()

Value

List with information on optimal portfolio. Includes investment in every candidate, benefits, cost, and total capacity.

Examples

## Not run: 
population <- 31.99
gdp_pc <- 6.71
frac_high_risk <- 0.131
loss2yr <- 0.269
price <- 4
portfolio <- portfolioPriceTaker(population=population, gdp_pc=gdp_pc,
                   frac_high_risk=frac_high_risk, loss2yr=loss2yr, price=price)

## End(Not run)

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