stevemisc: Steve's Miscellaneous Functions

These are miscellaneous functions that I find useful for my research and teaching. The contents include themes for plots, functions for simulating quantities of interest from regression models, functions for simulating various forms of fake data for instructional/research purposes, and many more. All told, the functions provided here are broadly useful for data organization, data presentation, data recoding, and data simulation.

Version: 1.0.0
Depends: R (≥ 3.6.0), stats
Imports: ggplot2 (≥ 3.3.0), magrittr, broom.mixed, labelled, arm, parallel, purrr, tibble, dplyr, methods, lme4, rlang, forcats, DBI, RSQLite, dbplyr
Suggests: knitr, rmarkdown
Published: 2021-04-19
Author: Steve Miller [aut, cre], Ben Bolker [ctb], Dave Armstrong [ctb], John Fox [ctb], Winston Chang [ctb], Brian Ripley [ctb], Bill Venables [ctb], Pascal van Kooten [ctb], Gerko Vink [ctb], Paul Williamson [ctb]
Maintainer: Steve Miller <steven.v.miller at gmail.com>
BugReports: https://github.com/svmiller/stevemisc/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: stevemisc results

Downloads:

Reference manual: stevemisc.pdf
Package source: stevemisc_1.0.0.tar.gz
Windows binaries: r-devel: stevemisc_1.0.0.zip, r-release: stevemisc_1.0.0.zip, r-oldrel: stevemisc_1.0.0.zip
macOS binaries: r-release (arm64): stevemisc_1.0.0.tgz, r-release (x86_64): stevemisc_1.0.0.tgz, r-oldrel: stevemisc_1.0.0.tgz

Reverse dependencies:

Reverse imports: peacesciencer

Linking:

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