sim: Simulation function

In conservation-decisions/smsPOMDP: POMDP problem solver: When to stop managing or surveying cryptic threatened species ?

Description

Plots a simulation for a given belief state : action implemented, observation, current state, posterior belief state

Usage

sim(p0, pm, d0, dm, ds, V, Cm, Cs, state_prior, Tmax, disc=0.95, size=1)

Arguments

p0	Local probability of persitance : P(extant/extant, survey or stop).
pm	Local probability of persitance if manage : P(extant/extant, manage).
d0	Local probability of detection : P(present/extant, stop).
dm	Local probability of detection : P(present/extant, manage).
ds	Local probability of detection if survey : P(present/extant, survey).
V	Estimated economic value of the species ($/yr).
Cm	Estimated cost of managing ($/yr).
Cs	Estimated cost of survey ($/yr).
state_prior	Initial belief state, vector of 2 values (belief state extant and extinct), between 0 and 1.
Tmax	Horizon of the simulation. Integer
disc	Discount factor used to compute the policy (default 0.95)
size	Size of the text on the graph (default 1)

Value

Plot.

Author(s)

Luz Pascal

Examples

 ## Not run: 
#values for Sumatran tigers
pen <- 0.1
p0 <- 1-pen
pem <- 0.05816
pm <- 1 - pem
V <- 175.133
Cm <- 18.784
Cs <- 10.840
d0 <- 0.01
dm <- 0.01
ds <- 0.78193

#Initial belief state
state_prior <- c(0.9,0.1) #extant : 0.9, extinct : 0.1

#Horizon of the simulation
Tmax <- 20

sim(p0, pm, d0, dm, ds, V, Cm, Cs, state_prior, Tmax)
 
## End(Not run)

conservation-decisions/smsPOMDP documentation built on Oct. 27, 2020, 10:44 p.m.