wrappers_parallel: Wrappers for Parallelization Functions

In gasmodel: Generalized Autoregressive Score Models

Wrappers for Parallelization Functions

Description

Wrappers of common R parallelization functions. Their purpose is to be passed as the parallel_function argument in the gas_bootstrap() function.

Usage

wrapper_parallel_none(run_num, run_fun, run_details, ...)

wrapper_parallel_multicore(run_num, run_fun, run_details, ...)

wrapper_parallel_snow(run_num, run_fun, run_details, ...)

Arguments

run_num	A number of iterations.
run_fun	A function to be computed.
run_details	A list of variables used for computation.
...	Additional arguments to be passed to the parallelization function.

Value

A list containing computed values.

Functions

• wrapper_parallel_none(): Wrapper for function base::lapply().

• wrapper_parallel_multicore(): Wrapper for parallelization function parallel::mclapply().

• wrapper_parallel_snow(): Wrapper for parallelization function parallel::parLapply().

See Also

gas_bootstrap() wrappers_optim wrappers_hessian

gasmodel documentation built on Aug. 30, 2023, 1:09 a.m.