stripDLLs: Remove other DLL conflicts with TMB and hold on to only the...

In LobsterScience/bio.lobster: Lobster Stock Assessment Tools for DFO Maritimes

Remove other DLL conflicts with TMB and hold on to only the sdmTMB DLL

Description

Remove other DLL conflicts with TMB and hold on to only the sdmTMB DLL

Remove other DLL conflicts with TMB and hold on to only the sdmTMB DLL

Usage

stripDLLs(tokeep = "sdmTMB")

stripDLLs(tokeep = "sdmTMB")

Arguments

tokeep

specific dlls you wish to keep loaded (can only be an element)

Value

Strips all .dlls conflicting with TMB running which keeping just sdmTMB

A data frame: * 'est': Estimate in link space (everything is in link space) * ‘est_non_rf': Estimate from everything that isn’t a random field * 'est_rf': Estimate from all random fields combined * 'omega_s': Spatial (intercept) random field that is constant through time * 'zeta_s': Spatial slope random field * 'epsilon_st': Spatiotemporal (intercept) random fields, could be off (zero), IID, AR1, or random walk

If 'return_tmb_object = TRUE' (and 'nsim = 0' and 'tmbstan_model = NULL'):

A list: * 'data': The data frame described above * 'report': The TMB report on parameter values * 'obj': The TMB object returned from the prediction run * 'fit_obj': The original TMB model object

In this case, you likely only need the 'data' element as an end user. The other elements are included for other functions.

If 'nsim > 0' or 'tmbstan_model' is not 'NULL':

Strips all .dlls conflicting with TMB running which keeping just sdmTMB

A data frame: * 'est': Estimate in link space (everything is in link space) * ‘est_non_rf': Estimate from everything that isn’t a random field * 'est_rf': Estimate from all random fields combined * 'omega_s': Spatial (intercept) random field that is constant through time * 'zeta_s': Spatial slope random field * 'epsilon_st': Spatiotemporal (intercept) random fields, could be off (zero), IID, AR1, or random walk

If 'return_tmb_object = TRUE' (and 'nsim = 0' and 'tmbstan_model = NULL'):

A list: * 'data': The data frame described above * 'report': The TMB report on parameter values * 'obj': The TMB object returned from the prediction run * 'fit_obj': The original TMB model object

In this case, you likely only need the 'data' element as an end user. The other elements are included for other functions.

If 'nsim > 0' or 'tmbstan_model' is not 'NULL':

LobsterScience/bio.lobster documentation built on Feb. 14, 2025, 3:28 p.m.