Likelihood-Free Parameter Estimation using Neural Networks


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Documentation for package ‘NeuralEstimators’ version 0.2.0

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assess assess a neural estimator
bias computes a Monte Carlo approximation of an estimator's bias
bootstrap bootstrap
encodedata encodedata
estimate estimate
loadstate Load a saved state of a neural estimator
plotdistribution Plot the empirical sampling distribution of an estimator.
plotestimates Plot estimates vs. true values.
posteriormode posteriormode
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