wrapper_run_TMB: Function to run the model using TMB

In lm687/CompSign: Study of mutational signatures using compositional data analysis (CoDA) techniques

Function to run the model using TMB

Description

Function to run the model using TMB

Usage

wrapper_run_TMB(
  model,
  object = NULL,
  smart_init_vals = T,
  use_nlminb = F,
  initial_params = NULL
)

Arguments

model:	name of model: Options: fullRE_M, diagRE_M, FE_DM, fullRE_DM, fullRE_DMonefixedlambda, diagRE_DM, fullRE_DM_singlelambda, singleRE_DM, fullREhalfDM, diagRE_DM_singlelambda, FE_DM_singlelambda, fullRE_multinomial_REv2, diagRE_DM_patientlambda, fullRE_DM_patientlambda
object:	object of type exposures_inputTMB (including X, Y, Z). See <simplified_object> as an example.
smart_init_vals:	boolean, whether a fixed-effects multinomial regression should be run first to get initial estimates
use_nlminb:	boolean, whether <nlminb> should be used for estimation. Alternatively, <optim> is used
initial_params:	(optional) list of initial parameters for estimation

lm687/CompSign documentation built on Jan. 16, 2025, 11:25 p.m.