Spatial Regression Modeling for Compositional Data With Many Zeros

Dimension reduction and alleviation of confounding for spatial generalized linear mixed models

(2012) John Hughes et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Regression for compositional data by using distributions defined on the hypersphere

(2011) J. L. Scealy et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Modeling large scale species abundance with latent spatial processes

(2010) Avishek Chakraborty et al.   Annals of Applied Statistics

Managing the Essential Zeros in Quantitative Fatty Acid Signature Analysis

(2010) Connie Stewart et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Corrigendum: A latent Gaussian model for compositional data with zeros

(2009) Adam Butler et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

“compositions”: A unified R package to analyze compositional data

(2007) K. Gerald van den Boogaart et al.   COMPUTERS & GEOSCIENCES