Question 1

What does the R-package 'mdw' do?

Accepted Answer

Maximum Diversity Weighting. Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) [doi:10.1002/sim.8212](https://doi.org/10.1002%2Fsim.8212).

Question 2

Who maintains mdw?

Accepted Answer

Youyi Fong

Question 3

Who authored mdw?

Accepted Answer

Zonglin He

Question 4

What is the current version of mdw?

Accepted Answer

The current version of the R-package '2024.8-1' is 2024.8-1

Question 5

When was the last release of mdw?

Accepted Answer

The last release of the R-package '2024.8-1' was 07/31/2024

Question 6

Where can I search for the R-package 'mdw'?

Accepted Answer

You can search for the R-package 'mdw' on CRAN/E at https://cran-e.com

mdw

Documentation

Team

Youyi Fong

Zonglin He

Insights

Last 30 days

Last 365 days

Binaries

Dependencies