Parallel calculate occurrence from telemetry and model list

Parallel calculate occurrence from telemetry and model list

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

Arguments

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.

Value

occurrence results list