Package: pixelate.fork 0.0.1

Aimee Taylor

pixelate.fork: Pixelate spatial predictions as per their average uncertainty

Pixelate spatially continuous predictions as per their average uncertainty. The package pixelate centres around a single function also called pixelate. The function pixelate groups predictions into a specified number of large pixels; computes the average uncertainty within each large pixel; then, for each large pixel, depending on its average uncertainty, either averages the predictions across it or across smaller pixels nested within it. The averaged predictions can then be plotted. The resulting plot of averaged predictions is selectively pixelated, similar to a photo that is deliberately pixelated to disguise a person’s identity. Areas of high average uncertainty in the pixelated plot are unresolved, while areas with high average certainty are resolved, similar to information poor versus rich regions of a satellite map.

Authors:Aimee Taylor [aut, cre], James Watson [aut], Caroline Buckee [aut]

pixelate.fork_0.0.1.tar.gz
pixelate.fork_0.0.1.zip(r-4.5)pixelate.fork_0.0.1.zip(r-4.4)pixelate.fork_0.0.1.zip(r-4.3)
pixelate.fork_0.0.1.tgz(r-4.4-any)pixelate.fork_0.0.1.tgz(r-4.3-any)
pixelate.fork_0.0.1.tar.gz(r-4.5-noble)pixelate.fork_0.0.1.tar.gz(r-4.4-noble)
pixelate.fork_0.0.1.tgz(r-4.4-emscripten)pixelate.fork_0.0.1.tgz(r-4.3-emscripten)
pixelate.fork.pdf |pixelate.fork.html
pixelate.fork/json (API)

# Install pixelate.fork in R:
install.packages('pixelate.fork', repos = c('https://plasmogenepi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/artaylor85/pixelate/issues

Datasets:

On CRAN:

1 exports 0.23 score 18 dependencies

Last updated 7 months agofrom:d58d242178581f2538b6e0f9585323b627a8e2ac

Exports:pixelate

Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrpillarpkgconfigR6rlangsptibbletidyselectutf8vctrswithr