Functions to setup a personal R package that
attaches given libraries and exports personal helper functions.
desc, devtools, fs, glue, magrittr, purrr, rprojroot,
rstudioapi, usethis, utils, withr, xfun

Functions to setup a personal R package that attaches given
libraries and exports personal helper functions.

Pictographic Representation of Treatment Effects
Joel Kuiper [aut, cre], Iain Marshall [ctb]
c(person("Joel", "Kuiper", email = "jkuiper@doctorevidence.com", role = c("aut", "cre")), person("Iain", "Marshall", email = "iain.marshall@kcl.ac.uk", role = c("ctb")))
Visualizes treatment effects using person icons, similar to Cates (NNT) charts.

Joel Kuiper [aut, cre], Iain Marshall [aut]
c(person("Joel", "Kuiper", email = "jkuiper@doctorevidence.com", role = c("aut", "cre")), person("Iain", "Marshall", email = "iain.marshall@kcl.ac.uk", role = c("aut")))

An R-package-version of an open online science-based personality
test from <https://openpsychometrics.org/tests/IPIP-BFFM/>,
providing a better-designed interface and a more detailed report.
The core command launch_test() opens a personality test in your browser,
and generates a report after you click "Submit". In this report, your results
are compared with other people's, to show what these results mean.
Other people's data is from <https://openpsychometrics.org/_rawdata/BIG5.zip>.
ggplot2, rlang, rmarkdown, shiny, stats, utils, whisker

Permutation of Species During Turnover Events
R (>= 2.10), ggplot2, foreach, ape, doParallel, parallel
Provides a robust framework for analyzing the extent to which differential survival with respect to higher level trait variation is reducible to lower level variation. In addition to its primary test, it also provides functions for simulation-based power analysis, reading in common data set formats, and visualizing results. Temporarily contains an edited version of function hr.mcp() from package 'wild1', written by Glen Sargeant.
Kenneth B. Hoehn [aut, cre],
Glen A. Sargeant [ctb]

R (>= 2.10), ggplot2, foreach, ape, doParallel, parallel,
grDevices, stats, methods
Provides a robust framework for analyzing the extent to which differential survival with respect to higher level trait variation is reducible to lower level variation. In addition to its primary test, it also provides functions for simulation-based power analysis, reading in common data set formats, and visualizing results. Temporarily contains an edited version of function hr.mcp() from package 'wild1', written by Glen Sargeant. For tutorial see: http://evolve.zoo.ox.ac.uk/Evolve/Perspectev.html.