Man pages for tlamadon/mopt
Parallel Derivative-free Moment Estimation
| algo.bgp | Baragatti Grimaud and Pommeret MCMC chain |
| algo.diffevo | differential evolution |
| algo.gibbs | Metropolis Hasting MCMC chain updating |
| algo.mh | Metropolis Hasting MCMC chain updating |
| algo.slicemax | Simple aglorithm which compute a slice, then takes the... |
| algo.slices | Compute the objective function on a grid |
| algo.wl | Wang-Landau MCMC |
| computeCandidatesBGP | Baragatti Grimaud and Pommeret MCMC chain |
| computeInitialCandidates | Compute Initial Parameter Candidates |
| compute.slices | Compute the objective function on a grid of params and show... |
| compute.slices2 | Compute the objective function on a grid of params and show... |
| datamoments | add data moments to the configuration |
| estimate.mopt_env | takes the best value, compute the score and the standard... |
| evaluateParameters | Evaluate objective function at N candidate parameter vectors |
| melt.mopt_env | melts data with only sampled parameters if set cols='m' or... |
| mopt | Parallel optimizer for R |
| mopt_config | create the configuration for the MCMC chain. |
| mopt.load | Load an existing mopt config |
| mopt_obj_wrapper | wraper for the objective function. Made public for multicore |
| objfc.multipic | create an objective function n dimensions and k local... |
| objfc.norm2 | create an objective function which computes the distance... |
| objfc.norm2.custom | create an objective function which returns custom output from... |
| plot.mopt_config | generates different plots from a chain |
| plot.mopt_env | generates different plots from a chain |
| plot.slices | plot.slices |
| predict.mopt_config | return some versions of the parameters |
| predict.mopt_env | return some versions of the parameters |
| prepare.mopt_config | prepares mopt to run with either MPI or openMP or just serial |
| print.mopt_env | print method for mopt_env |
| rollcall | cluster rollcall |
| runMOpt | this is the main function, it will run the optimizer in... |
| run.simplex | Runs a serial optimization using minqa package |
| samplep | defining sampling support for parameter |
| score.mopt_env | compute the simulated score from the the chain. This is the... |
