inst/examples/08_js_basic.R

#### Jolly-Seber example 
library(openpopscr)
RcppParallel::setThreadOptions(numThreads = 1)

# simulate data -----------------------------------------------------------

# set truth 
true_par <- list(D = 1000, lambda0 = 1.0, sigma = 30, phi = 0.8, beta = 0.5)

# make detectors array 
detectors <- make.grid(nx = 7, ny = 7, spacing = 20, detector = "proximity")

# make mesh 
mesh <- make.mask(detectors, buffer = 100, nx = 64, ny = 64, type = "trapbuffer")

# set number of occasions to simulate
n_occasions <- 5

# simulate ScrData 
scrdat <- simulate_js_openscr(true_par, n_occasions, detectors, mesh, seed = 19592)



# fit model ---------------------------------------------------------------

# create formulae 
par <- list(lambda0 ~ 1, 
            sigma ~ 1, 
            beta ~ 1, 
            phi ~ 1, 
            D ~ 1)

# get start values 
start <- get_start_values(scrdat, model = "JsModel")

# create model object 
oo <- JsModel$new(par, scrdat, start)

# compute initial likelihood 
oo$calc_llk()

# fit model 
oo$fit()

# see results 
oo

oo$get_par("lambda0", k = 1, j = 1)
oo$get_par("sigma", k = 1, j = 1)
oo$get_par("phi", k = 1, m = 1)
oo$get_par("beta", k = 1, m = 1)
oo$get_par("D")
r-glennie/openpopscr documentation built on Oct. 9, 2021, 9:01 p.m.