| continue_lcm_tree | R Documentation | 
can definitely ignore this function, and use lcm_tree directly with various settings. So this function is for lazy persons.
continue_lcm_tree( old_mod, update_hyper_freq = NULL, print_freq = NULL, tol = 1e-08, tol_hyper = 1e-04, max_iter = 5000, nrestarts = 1, keep_restarts = TRUE, parallel = TRUE, log_restarts = FALSE, log_dir = ".", random_init = FALSE, allow_continue = FALSE )
| old_mod | fitted object from  | 
| update_hyper_freq | How frequently to update hyperparameters. Default = every 50 iterations. | 
| print_freq | How often to print out iteration number and current value of epsilon (the difference in objective function value for the two most recent iterations). | 
| tol | Convergence tolerance for the objective function.
Default is  | 
| tol_hyper | The convergence tolerance for the objective function
between subsequent hyperparameter updates. Typically it is a more generous
tolerance than  | 
| max_iter | Maximum number of iterations of the VI algorithm.
Default is  | 
| nrestarts | Number of random re-starts of the VI algorithm.
The restart that gives the highest value of the objective function will
be returned. It is recommended to choose  | 
| keep_restarts | If  | 
| parallel | If  | 
| log_restarts | If  | 
| log_dir | Directory for logging progress of random restarts. Default is the working directory. | 
| random_init | If  | 
| allow_continue | logical,  | 
lcm_tree()
Other lcm_tree functions: 
lcm_tree()
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