Compack: Regression with Compositional Covariates

Regression methodologies with compositional covariates, including (1) sparse log-contrast regression with compositional covariates proposed by Lin et al. (2014) <doi:10.1093/biomet/asu031>, and (2) sparse log-contrast regression with functional compositional predictors proposed by Sun et al. (2020) <arXiv:1808.02403>.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: Rcpp, MASS, plyr, splines, fda, orthogonalsplinebasis, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2020-05-11
Author: Zhe Sun ORCID iD [aut, cre], Kun Chen ORCID iD [aut]
Maintainer: Zhe Sun <zhe.sun at uconn.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: Compack results

Documentation:

Reference manual: Compack.pdf
Vignettes: Introduction to Compack

Downloads:

Package source: Compack_0.1.0.tar.gz
Windows binaries: r-devel: Compack_0.1.0.zip, r-devel-UCRT: Compack_0.1.0.zip, r-release: Compack_0.1.0.zip, r-oldrel: Compack_0.1.0.zip
macOS binaries: r-release (arm64): Compack_0.1.0.tgz, r-release (x86_64): Compack_0.1.0.tgz, r-oldrel: Compack_0.1.0.tgz

Linking:

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