Run `testYaps()` to check that the core functions of YAPS is working correctly. Output should be a random simulated (black) and estimated (red) track.
testYaps( silent = TRUE, pingType = "sbi", est_ss = TRUE, opt_fun = "nlminb", opt_controls = list(), bounds = list() )
| silent | Logical whether to print output to the console |
|---|---|
| pingType | Type of transmitter to simulate - either stable burst interval ('sbi'), random burst interval ('rbi') or random burst interval but where the random sequence is known a priori |
| est_ss | Logical whether to test using ss_data_what = 'est' (est_ss = TRUE) or ss_data_what = 'data' (est_ss = FALSE) |
| opt_fun | Which optimization function to use. Default is 'nlminb' - alternative is 'nloptr' (experimental!). If using 'nloptr', `opt_controls` must be specified. |
| opt_controls | List of controls passed to optimization function. For instances, tolerances such as x.tol=1E-8. If opt_fun = 'nloptr', `opt_controls` must be a list formatted appropriately. For instance: opt_controls <- list(algorithm="NLOPT_LD_AUGLAG", xtol_abs=1e-12, maxeval=2E+4, print_level = 1, local_opts= list(algorithm="NLOPT_LD_AUGLAG_EQ", xtol_rel=1e-4) ). See `?nloptr` and the NLopt site https://nlopt.readthedocs.io/en/latest/ for more info. Some algorithms in `nloptr` require bounded parameters - see `bounds`. |
| bounds | List of two vectors specifying lower and upper bounds of fixed parameters. Length of each vector must be equal to number of fixed parameters. For instance, bounds = list(lb = c(-3, -1, -2), ub = c(2,0,1) ). |