Man pages for NeuralEstimators
Likelihood-Free Parameter Estimation using Neural Networks
| assess | assess a neural estimator |
| bias | computes a Monte Carlo approximation of an estimator's bias |
| bootstrap | bootstrap |
| encodedata | encodedata |
| estimate | estimate |
| initialise_estimator | Initialise a neural estimator |
| loadstate | load a saved state of a neural estimator |
| loadweights | load a collection of saved weights of a neural estimator |
| mapestimate | Maximum a posteriori estimation |
| mlestimate | Maximum likelihood estimation |
| NeuralEstimators-package | NeuralEstimators: Likelihood-Free Parameter Estimation using... |
| plotdistribution | Plot the empirical sampling distribution of an estimator. |
| plotestimates | Plot estimates vs. true values. |
| risk | computes a Monte Carlo approximation of an estimator's Bayes... |
| rmse | computes a Monte Carlo approximation of an estimator's... |
| sampleposterior | sampleposterior |
| savestate | save the state of a neural estimator |
| tanhloss | tanhloss |
| train | Train a neural estimator |
