Provides parallel computing functionality (using Rmpi) to
some methods in the spatstat package.

Provides parallel computing functionality (using Rmpi) to some methods in the spatstat package. Also includes methods for point pattern reconstruction.

Partitioning using deletion, substitution, and addition moves
Annette Molinaro <annette.molinaro@ucsf.edu>, Karen Lostritto
<karen.lostritto@yale.edu>, Gregory Ryslik
<gregory.ryslik@yale.edu>, Steve Weston
<stephen.weston@yale.com>
partDSA is a novel tool for generating a piecewise
constant estimation list of increasingly complex predictors
based on an intensive and comprehensive search over the entire
covariate space.
versions prior to 2013-02-06 were removed at the
request of the maintainer.

Annette Molinaro <annette.molinaro@ucsf.edu>,
Karen Lostritto <karen.lostritto@yale.edu>,
Gregory Ryslik <gregory.ryslik@yale.edu>,
Steve Weston <stephen.weston@yale.com>

Partitioning Using Deletion, Substitution, and Addition Moves
Annette Molinaro <annette.molinaro@ucsf.edu>,
Adam Olshen <olshena@biostat.ucsf.edu>,
Karen Lostritto <karen.lostritto@yale.edu>,
Gregory Ryslik <gregory.ryslik@yale.edu>,
Steve Weston <stephen.weston@yale.com>
A novel tool for generating a piecewise
constant estimation list of increasingly complex predictors
based on an intensive and comprehensive search over the entire
covariate space.

c(person(given = "Martin A.",
family = "Stoffel",
role = c("aut", "cre"),
email = "martin.adam.stoffel@gmail.com"),
person(given = "Shinichi",
family = "Nakagawa",
role = c("aut"),
email = "s.nakagawa@unsw.edu.au"),
person(given = "Holger",
family = "Schielzeth",
role = c("aut"),
email = "holger.schielzeth@uni-jena.de"))
Partitioning the R2 of GLMMs into variation explained by each
predictor and combination of predictors using semi-partial (part) R2 and
inclusive R2. Methods are based on the R2 for GLMMs described in
Nakagawa & Schielzeth (2013) <doi:10.1111/j.2041-210x.2012.00261.x> and
Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>.
testthat, future, furrr, knitr, rmarkdown, patchwork, covr
Martin A. Stoffel [aut, cre],
Shinichi Nakagawa [aut],
Holger Schielzeth [aut]