Race Multiple Solvers

Runs multiple solvers (optionally in parallel) and returns the best result (highest log-likelihood). More flexible than %|% operator.

Usage

race(..., parallel = FALSE)

Arguments

...

Solver functions to race

parallel

Logical; if TRUE and the future package is installed, solvers are run in parallel using the current future plan. Default is FALSE.

Value

A new solver function that races all solvers and picks the best

Details

When parallel = TRUE, solvers are executed using future::future() and results collected with future::value(). The current future plan determines how parallelization happens (e.g., plan(multisession) for multi-process execution).

Failed solvers (those that throw errors) are ignored. If all solvers fail, an error is thrown.

Examples

# Race three methods sequentially
strategy <- race(gradient_ascent(), bfgs(), nelder_mead())

# Race with parallel execution (requires future package)
if (FALSE) { # \dontrun{
future::plan(future::multisession)
strategy <- race(gradient_ascent(), bfgs(), nelder_mead(), parallel = TRUE)
} # }