SpPDCC

An R package for estimating sparse and positive definite basis covariance matrices from compositional data using the method described in Direct covariance matrix estimation with compositional data.

This package will be updated sporadically. Please contact amolstad@umn.edu with any questions or comments.

Installation

SpPDCC can be loaded directly into R through the devtools package:

install.packages("devtools")
library(devtools)
devtools::install_github("ajmolstad/SpPDCC")

Citation instructions

Please cite the most recent version of the article mentioned above. As of October 2023, this was the following (in bibtex):

@misc{molstad2022direct,
      title={Direct covariance matrix estimation with compositional data}, 
      author={Aaron J. Molstad and Karl Oskar Ekvall and Piotr M. Suder},
      year={2022},
      eprint={2212.09833},
      archivePrefix={arXiv},
      primaryClass={stat.ME}
}

Vignette

Please visit this example page for details on implementation and usage.

Reproducing simulation study results

Code to reproduce simulation results from the article can be found at this repository.