Likelihood-Free Parameter Estimation using Neural Networks

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Documentation for package ‘NeuralEstimators’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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