EbayesThresh

Empirical Bayes Thresholding and Related Methods

CRAN Package

Empirical Bayes thresholding using the methods developed by I. M. Johnstone and B. W. Silverman. The basic problem is to estimate a mean vector given a vector of observations of the mean vector plus white noise, taking advantage of possible sparsity in the mean vector. Within a Bayesian formulation, the elements of the mean vector are modelled as having, independently, a distribution that is a mixture of an atom of probability at zero and a suitable heavy-tailed distribution. The mixing parameter can be estimated by a marginal maximum likelihood approach. This leads to an adaptive thresholding approach on the original data. Extensions of the basic method, in particular to wavelet thresholding, are also implemented within the package.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 78,159 times in the last 30 days. The kind of number that gets mentioned in a keynote speech. Well done! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2,611 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
0 downloadsFeb 11, 2025
2,617 downloadsFeb 12, 2025
2,630 downloadsFeb 13, 2025
2,638 downloadsFeb 14, 2025
2,640 downloadsFeb 15, 2025
2,621 downloadsFeb 16, 2025
2,637 downloadsFeb 17, 2025
2,649 downloadsFeb 18, 2025
2,635 downloadsFeb 19, 2025
2,616 downloadsFeb 20, 2025
2,542 downloadsFeb 21, 2025
2,516 downloadsFeb 22, 2025
2,471 downloadsFeb 23, 2025
2,500 downloadsFeb 24, 2025
2,646 downloadsFeb 25, 2025
2,620 downloadsFeb 26, 2025
2,642 downloadsFeb 27, 2025
2,660 downloadsFeb 28, 2025
2,621 downloadsMar 1, 2025
2,595 downloadsMar 2, 2025
2,591 downloadsMar 3, 2025
2,564 downloadsMar 4, 2025
2,657 downloadsMar 5, 2025
2,632 downloadsMar 6, 2025
2,573 downloadsMar 7, 2025
2,604 downloadsMar 8, 2025
2,605 downloadsMar 9, 2025
2,601 downloadsMar 10, 2025
2,581 downloadsMar 11, 2025
2,644 downloadsMar 12, 2025
2,611 downloadsMar 13, 2025
0 downloadsMar 14, 2025
0 downloadsMar 15, 2025
2,471
2,660

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 650,556 times in the last 365 days. Half a million downloads! This work is now a household name in certain academic circles. The day with the most downloads was Jan 03, 2025 with 2,685 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports1 package
  • Suggests5 packages
  • Reverse Depends5 packages
  • Reverse Imports2 packages