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: nullabor_0.3.9.tgz, r-oldrel: nullabor_0.3.9.tgz |
| Old sources: | nullabor archive |
| Reverse imports: | metaviz |
| Reverse suggests: | agridat |
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