%>>%                    Sequential Solver Composition
bfgs                    BFGS Solver
chain                   Chain Solvers with Early Stopping
clear_cache             Clear derivative cache
compose_transforms      Compose Multiple Function Transformations
coordinate_ascent       Coordinate Ascent Solver
fisher_scoring          Fisher Scoring Solver
get_fisher              Get Fisher information function from problem
get_score               Get score function from problem
gradient_ascent         Gradient Ascent Solver
grid_search             Grid Search Solver
is_converged            Check if solver converged
is_mle_constraint       Check if object is an mle_constraint
is_mle_problem          Check if object is an mle_problem
is_solver_result        Check if object is a solver result
is_tracing              Check if tracing is enabled
lbfgsb                  L-BFGS-B Solver (Box Constrained)
mle_constraint          Create domain constraint specification
mle_problem             Create an MLE Problem Specification
mle_trace               Create a Trace Configuration
nelder_mead             Nelder-Mead Solver (Derivative-Free)
newton_raphson          Newton-Raphson Solver
normal_sampler          Normal Sampler Factory
num_iterations          Get number of iterations
optimization_path       Extract Optimization Path as Data Frame
penalty_elastic_net     Elastic net penalty (combination of L1 and L2)
penalty_l1              L1 penalty function (LASSO)
penalty_l2              L2 penalty function (Ridge)
plot.mle_trace_data     Plot Trace Data Directly
plot.solver_result      Plot Optimization Convergence
print.mle_trace_data    Print MLE Trace Data
race                    Race Multiple Solvers
race_operator           Parallel Solver Racing (Operator)
random_search           Random Search Solver
sim_anneal              Simulated Annealing Solver
uniform_sampler         Uniform Sampler Factory
unless_converged        Conditional Refinement
update.mle_problem      Update an mle_problem
with_penalty            Add penalty term to log-likelihood
with_restarts           Multiple Random Restarts
with_subsampling        Create stochastic log-likelihood with
                        subsampling
