par_occur: Parallel calculate occurrence from telemetry and model list
In francocarol/shiny_ctmm: Web App For ctmm

Parallel calculate occurrence from telemetry and model list

1	par_occur(tele_list, model_list, cores = NULL, parallel = TRUE)

`tele_list`	`ctmm::as.telemetry()` telemetry list
`model_list`	Corresponding `ctmm` model list for `tele_list`
`cores`	the core count to be used for cluster. Could be a positive integer or Default `NULL` value will indicate to use a heuristic value based on detected cores, which is roughly `min(input_size, physical_cores_count * n)`, `n` being 2 for windows, 4 for Mac/Linux. See `parallel::detectCores()` for more information on physical/logical cores in different platforms. A negative value like `-2` will use `all available cores - 2`, so that 2 cores are reserved for user's other tasks.
`parallel`	Use regular `lapply()` when FALSE. You may notice more console messages in this mode because the console messages in parallel mode are lost by default as they happened in other threads.