ffp_opt_sobin_rev: Theorem 1, Equation 6, Resource Equivalent Variation

Description Usage Arguments Value Author(s) References Examples

View source: R/ffp_opt_sobin.R

Description

This does not solve for the full solution, just the targeting queue, individual position on queue.

Usage

1
2
3
4
5
6
7
8
ffp_opt_sobin_rev(
  ar_queue_optimal,
  ar_bin_observed,
  ar_A,
  ar_alpha,
  ar_beta,
  fl_rho
)

Arguments

ar_queue_optimal

optimal targeting array index of ranking from 1 to N targetting queue

ar_bin_observed

observed vector of binary zeros and ones

ar_A

float array of expected effect of provision for each i of N

ar_alpha

float array of planner bias

ar_beta

string name of the A_i variable, any nonlinear or linear evaluated expected outcome

fl_rho

float preference for equality for the planner, negative infinity to 1

Value

an float value for resource equivalent variation, see Theorem 1

Author(s)

Fan Wang, http://fanwangecon.github.io

References

https://fanwangecon.github.io/PrjOptiAlloc/reference/ffp_opt_sobin_rev.html https://fanwangecon.github.io/PrjOptiAlloc/articles/ffv_opt_sobin_rev.html

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
library(tibble)
library(dplyr)
library(tidyr)
fl_rho <- -1
ar_alpha <- c(0.1,1.5,2.5,4  ,9,1.2,3,2,8)
ar_A <-     c(0.5,1.5,3.5,6.5,1.9,3,4,6,4)
ar_beta <-  rep(0, length(ar_A)) + 1/length(ar_A)
mt_alpha_A <- cbind(ar_alpha, ar_A, ar_beta)
ar_st_varnames <- c('alpha', 'A', 'beta')
tb_alpha_A <- as_tibble(mt_alpha_A) %>% rename_all(~c(ar_st_varnames))
tb_alpha_A
ar_rho <- c(-1)
for (it_rho_ctr in seq(1,length(ar_rho))) {
  fl_rho <- ar_rho[it_rho_ctr]
  ls_ranks <- ffp_opt_sobin_target_row(tb_alpha_A[1,], fl_rho, ar_A, ar_alpha, ar_beta)
  it_rank <- ls_ranks$it_rank
  ar_it_rank <- ls_ranks$ar_it_rank
  ar_fl_rank_val <- ls_ranks$ar_fl_rank_val
  cat('fl_rho:', fl_rho, 'ar_it_rank:', ar_it_rank, '\n')
}
ar_bin_observed <- c(0,1,0,1,0,0,1,1,0)
ar_queue_optimal <- ar_it_rank
ffp_opt_sobin_rev(ar_queue_optimal, ar_bin_observed, ar_A, ar_alpha, ar_beta, fl_rho)

FanWangEcon/PrjOptiAlloc documentation built on Jan. 25, 2022, 6:55 a.m.