ldr: An R Software Package for Likelihood-Based Su?cient Dimension Reduction

By Kofi P. Adragni, Andrew M. Raim. 2014

42 citations recorded by the source corpus.

In regression settings, a su?cient dimension reduction (SDR) method seeks the core information in a p-vector predictor that completely captures its relationship with a response. The reduced predictor may reside in a lower dimension d

Subfields: Genetics, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Ahmed M. Elgammal
2. Chetan Tonde
3. Praneeth Vepakomma

In Statistics and Probability

1. Ahmed M. Elgammal
2. Chetan Tonde
3. Praneeth Vepakomma

Citations in the corpus

• Supervised Dimensionality Reduction via Distance Correlation Maximization (2016, methodology): “…28.16 27.39 27.24 27.18 gKDR [Fukumizu and Leng, 2014] 29.72 27.62 27.29 26.91 26.81 SCA [Yamada et al., 2011] 28.53 27.31 26.60 26.32 26.30 LAD [Cook and Forzani, 2009] 30.42 30.39 30.20 30.04 29.99 SAVE [Shao et al., 2009] 31.93 31.27 30.72 30.53 30.31 SIR [Li, 1991] 33.63 32.65 31.39 31.16…”