Likelihood-Free Parameter Estimation using Neural Networks
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Documentation for package ‘NeuralEstimators’ version 0.2.2
Help Pages
| assess | assess a neural estimator |
| bias | computes a Monte Carlo approximation of an estimator's bias |
| bootstrap | bootstrap |
| cpu_device | CPU device |
| encodedata | encodedata |
| estimate | estimate |
| gpu_device | GPU device |
| infer | infer |
| loadstate | Load a saved state of a neural estimator |
| logratio | logratio |
| plotdistribution | Plot the empirical sampling distribution of an estimator. |
| plotestimates | Plot estimates vs. true values. |
| PointEstimator | PointEstimator |
| PosteriorEstimator | PosteriorEstimator |
| RatioEstimator | RatioEstimator |
| reactant_device | Reactant/XLA device |
| risk | computes a Monte Carlo approximation of an estimator's Bayes risk |
| rmse | computes a Monte Carlo approximation of an estimator's root-mean-square error (RMSE) |
| sampleposterior | sampleposterior |
| savestate | save the state of a neural estimator |
| spatialgraph | spatialgraph |
| tanhloss | tanhloss |
| train | Train a neural estimator |