Imports: RandomFields, spam, scatterplot3d, fields, mapproj, methods,

Authors@R: c(person("Simone","Padoan", role = c("cre","aut"), email="simone.padoan@unibocconi.it"),
person("Boris","Beranger", role = "aut", email="borisberanger@gmail.com"),
person("Moreno", "Bevilacqua", role = "aut", email="moreno.bevilacqua@uv.cl"),
person("Alan", "Genz", role = "ctb", comment = "Author of included MVNDST fragment"))
Alan Genz [ctb] (Author of included MVNDST fragment)

Package: CompRandFld
Version: 1.0.3
Date: 2013-05-20
Title: Composite-likelihood based Analysis of Random Fields
Author: Simone Padoan <simone.padoan@unibocconi.it>, Moreno Bevilacqua
<moreno.bevilacqua@uv.cl>
Maintainer: Simone Padoan <simone.padoan@stat.unipd.it>
Depends: R (>= 2.12.0)
Description: The aim of this package is to collect a set of procedures
for the analysis of Random Fields by Composite Likelihood
methods. Spatial analysis often involves dealing with large
dataset. Therefore even simple studies may be too
computationally demanding. Composite likelihood based methods
are emerging as useful tools for mitigating such computational
problems and show satisfactory results when compared with other
techniques such as, for example the tapering method. Moreover,
composite likelihood (and related quantities) have some good
properties similar to those of the standard likelihood.
Suggests: RandomFields, spam, scatterplot3d, fields, mapproj
License: GPL (>= 2)
URL: http://faculty.unibocconi.it/simonepadoan
Repository: CRAN
Packaged: 2013-05-22 08:20:07 UTC; simonepadoan
NeedsCompilation: yes
Date/Publication: 2013-05-22 10:36:00

Title: Regression with Compositional Covariates
Description: 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>.
Imports: Rcpp, MASS, plyr, splines, fda, orthogonalsplinebasis, methods