Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.
Version: | 0.3.9 |
Imports: | MASS, rlang, moments, fpc, tsibble, forecast, ggplot2, dplyr, purrr, tidyr, tibble, magrittr, viridis |
Suggests: | reshape2, knitr |
Published: | 2020-02-25 |
Author: | Hadley Wickham |
Maintainer: | Di Cook <dicook at monash.edu> |
BugReports: | http://github.com/dicook/nullabor/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://github.com/dicook/nullabor |
NeedsCompilation: | no |
Citation: | nullabor citation info |
Materials: | README NEWS |
CRAN checks: | nullabor results |
Reference manual: | nullabor.pdf |
Vignettes: |
Distances between null and data plots Example lineups in nullabor An Introduction to the nullabor package |
Package source: | nullabor_0.3.9.tar.gz |
Windows binaries: | r-devel: nullabor_0.3.9.zip, r-release: nullabor_0.3.9.zip, r-oldrel: nullabor_0.3.9.zip |
macOS binaries: | r-release (arm64): nullabor_0.3.9.tgz, r-oldrel (arm64): nullabor_0.3.9.tgz, r-release (x86_64): nullabor_0.3.9.tgz, r-oldrel (x86_64): nullabor_0.3.9.tgz |
Old sources: | nullabor archive |
Reverse imports: | metaviz, regressinator |
Reverse suggests: | agridat |
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