specr: Conducting and Visualizing Specification Curve Analyses

Provides utilities for conducting specification curve analyses (Simonsohn, Simmons & Nelson (2015, <doi:10.2139/ssrn.2694998>) or multiverse analyses (Steegen, Tuerlinckx, Gelman & Vanpaemel, 2016, <doi:10.1177/1745691616658637>) including functions to setup, run, evaluate, and plot all specifications.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: broom, cowplot, dplyr, ggplot2, ggraph, glue, igraph, lme4, magrittr, purrr, rlang, tibble, tidyr
Suggests: knitr, testthat, tidyverse, performance, progress, rmarkdown
Published: 2020-03-26
Author: Philipp K. Masur ORCID iD [aut, cre], Michael Scharkow [aut]
Maintainer: Philipp K. Masur <phil.masur at gmail.com>
BugReports: https://github.com/masurp/specr/issues
License: GPL-3
URL: https://masurp.github.io/specr/, https://github.com/masurp/specr
NeedsCompilation: no
Citation: specr citation info
Materials: README
CRAN checks: specr results


Reference manual: specr.pdf
Vignettes: Customizing plots
Identifying variance components
Investigating selected specifications
Visualizing progress
An introduction to specr
Package source: specr_0.2.1.tar.gz
Windows binaries: r-devel: specr_0.2.1.zip, r-release: specr_0.2.1.zip, r-oldrel: specr_0.2.1.zip
macOS binaries: r-release (arm64): specr_0.2.1.tgz, r-release (x86_64): specr_0.2.1.tgz, r-oldrel: specr_0.2.1.tgz


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