siml_cjs: data simulation for single release, diff surv for int and seg...

In boppingshoe/bootylator: Bootstrap Program for CSS Estimates

Description

data simulation for single release, diff surv for int and seg groups

Usage

siml_cjs(big_phi, big_p, mrkd, remv, n_occ, intgr, surv_diff, grp_t,
  adu_rtn)

Arguments

big_phi	Set reach survivals.
big_p	Set detection probabilities for each reach.
mrkd	Indicates amount of fish released.
remv	Indicates the portion of fish removed (transported or died).
n_occ	Number of events/detection.
intgr	Portion of "integrated" group. Integrated + Segregated = 1.
surv_diff	Difference in survival between the intergrated and segregated groups.
grp_t	Portion of transported group. Group T + Group R = 1
adu_rtn	Adult return rate.

Value

Simulated detection history and adult counts. Bootstrap ready.

Examples

n_occ<- 8
mrkd<- 5000
phi_real<- rep(0.8, n_occ-1) # set survival
p_real<- rep(0.45, n_occ-1) # set detection
remv<- 0.01 # portion removed at occ 2 and 3
intgr<- 0.23
surv_diff<- 0.07
grp_t<- 0.7
adu_rtn<- 0.02
big_phi<- matrix(phi_real, ncol= n_occ-1, nrow= mrkd)
big_p<- matrix(p_real, ncol= n_occ-1, nrow= mrkd)

ch<- siml_cjs(big_phi, big_p, mrkd, remv, n_occ, intgr, surv_diff, grp_t, adu_rtn)

boppingshoe/bootylator documentation built on May 8, 2019, 1:01 p.m.