R: Empirical Bayes Thresholding and Related Methods

# Empirical Bayes Thresholding and Related Methods

## Documentation for package ‘EbayesThresh’ version 1.4-12

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

## Help Pages

beta.cauchy | Function beta for the quasi-Cauchy prior
beta.laplace | Function beta for the Laplace prior
cauchy.medzero | Posterior median estimator
cauchy.threshzero | Find threshold from mixing weight
ebayesthresh | Empirical Bayes thresholding on a sequence
ebayesthresh.wavelet | Empirical Bayes thresholding on the levels of a wavelet transform.
ebayesthresh.wavelet.dwt | Empirical Bayes thresholding on the levels of a wavelet transform.
ebayesthresh.wavelet.splus | Empirical Bayes thresholding on the levels of a wavelet transform.
ebayesthresh.wavelet.wd | Empirical Bayes thresholding on the levels of a wavelet transform.
laplace.threshzero | Find threshold from mixing weight
negloglik.laplace | Find weight and scale factor from data if Laplace prior is used.
postmean | Posterior mean estimator
postmean.cauchy | Posterior mean estimator
postmean.laplace | Posterior mean estimator
postmed | Posterior median estimator
postmed.cauchy | Posterior median estimator
postmed.laplace | Posterior median estimator
tfromw | Find threshold from mixing weight
tfromx | Find thresholds from data
threshld | Threshold data with hard or soft thresholding
wandafromx | Find weight and scale factor from data if Laplace prior is used.
wfromt | Mixing weight from posterior median threshold
wfromx | Find Empirical Bayes weight from data
wmonfromx | Find monotone Empirical Bayes weights from data.
zetafromx | Estimation of a parameter in the prior weight sequence in the EbayesThresh paradigm.