Likelihood-Free Parameter Estimation using Neural Networks

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Documentation for package ‘NeuralEstimators’ version 0.1.2

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

Help Pages

NeuralEstimators-package	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	NeuralEstimators: Likelihood-Free Parameter Estimation using Neural Networks
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 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
tanhloss	tanhloss
train	Train a neural estimator