R: Compositional Maximum Likelihood Estimation

# Compositional Maximum Likelihood Estimation

## Documentation for package ‘compositional.mle’ version 2.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

%>>% | Sequential Solver Composition
%|% | Parallel Solver Racing (Operator)
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_problem.default | Create an MLE Problem Specification
mle_problem.likelihood_model | 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_problem | Create an MLE Problem Specification
print.mle_trace | Create a Trace Configuration
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