Empirical Bayesian Tobit Matrix Estimation

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Documentation for package ‘ebTobit’ version 1.0.1

• DESCRIPTION file.

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BileAcid	Bile Acid Data
ConvexDual	Convex Optimization of the Kiefer-Wolfowitz NPMLE
ConvexPrimal	Convex Optimization of the Kiefer-Wolfowitz NPMLE
ebTobit	Empirical Bayes Matrix Estimation under a Tobit Likelihood
EM	Nonparametric Maximum Likelihood via Expectation Maximization
fitted.ebTobit	Fitted Estimates of an ebTobit object
is.ebTobit	Validate ebTobit Object
likMat	Helper Function - generate likelihood matrix
lik_GaussianPIC	Helper Function - generate likelihood for pair (L,R) and mean gr
logLik.ebTobit	Marginal Log-likelihood of an ebTobit object
new_ebTobit	Create a new ebTobit object
posterior_L1mediod.ebTobit	Compute the Posterior L1 Mediod of an ebTobit object
posterior_mean.ebTobit	Compute Posterior Mean of an ebTobit object
posterior_mode.ebTobit	Compute Posterior Mode of an ebTobit object
predict.ebTobit	Fitted Estimates of an ebTobit object
tobit_sd	Fit Tobit Standard Deviation via Maximum Likelihood
tobit_sd_mle	Maximum Likelihood Estimator for a Single Standard Deviation Parameter