Package: speccurvieR 1.0.0

speccurvieR: Easy, Fast, and Pretty Specification Curve Analysis

Making specification curve analysis easy, fast, and pretty. It improves upon existing offerings with additional features and 'tidyverse' integration. Users can easily visualize and evaluate how their models behave under different specifications with a high degree of customization. For a description and applications of specification curve analysis see Simonsohn, Simmons, and Nelson (2020) <doi:10.1038/s41562-020-0912-z>.

Authors:Zayne Sember [aut, cre, cph]

speccurvieR_1.0.0.tar.gz
speccurvieR_1.0.0.zip(r-4.7-any)speccurvieR_1.0.0.zip(r-4.6-any)speccurvieR_1.0.0.zip(r-4.5-any)
speccurvieR_1.0.0.tgz(r-4.6-any)speccurvieR_1.0.0.tgz(r-4.5-any)
speccurvieR_1.0.0.tar.gz(r-4.7-any)speccurvieR_1.0.0.tar.gz(r-4.6-any)
speccurvieR_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
speccurvieR/json (API)

# Install 'speccurvieR' in R:

install.packages('speccurvieR', repos = c('https://zaynesember.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zaynesember/speccurvier/issues

Datasets:

bottles - CalCOFI Bottle Data

On CRAN:

regression-diagnostics specification-curve-analysis specification-curve-plot

5.08 score 6 stars 8 scripts 238 downloads 41 exports 43 dependencies

Last updated from:6c38879b0d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	249
source / vignettes	OK	299
linux-release	OK	302
macos-release	OK	354
macos-oldrel	OK	274
windows-devel	OK	191
windows-release	OK	193
windows-oldrel	OK	217
wasm-release	OK	120

Exports:control_extractor controlExtractor duplicate_remover formula_builder glance paste_factory plot_aic plot_coef_fit plot_control_distributions plot_curve plot_deviance plot_influence plot_multi_se plot_r2_adj plot_rmse plot_samplesizes plot_sca_test plot_sca_test_specs plot_se plot_variance plot_vars plotAIC plotControlDistributions plotCurve plotDeviance plotR2Adj plotRMSE plotVars sca sca_minp sca_report sca_table sca_test sca_variance scp se_boot se_compare theme_sca tidy un_as_is unAsIs

Dependencies:cli combinat cpp11 dplyr dreamerr farver fixest Formula generics ggplot2 glue gtable isoband labeling lattice lifecycle lmtest magrittr nlme numDeriv patchwork pbapply pillar pkgconfig purrr R6 RColorBrewer Rcpp rlang S7 sandwich scales stringi stringmagic stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr zoo

Specification Curve Analysis with speccurvieR

Rendered fromspeccurvieR.Rmdusingknitr::rmarkdown

Last update: 2026-07-18
Started: 2026-07-18

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
CalCOFI Bottle Data	bottles
Plots the AIC across model specifications.	plot_aic
Plots the independent variable's coefficient against model fit.	plot_coef_fit
Plots control variable distributions.	plot_control_distributions
Plots a specification curve.	plot_curve
Plots the deviance of residuals across model specifications.	plot_deviance
Plots how each control influences the independent variable's coefficient.	plot_influence
Plots a specification curve under multiple standard error types.	plot_multi_se
Plots the adj. R-squared across model specifications.	plot_r2_adj
Plots RMSE across model specifications.	plot_rmse
Plots the number of observations across model specifications.	plot_samplesizes
Plot the null distribution of a joint-inference test	plot_sca_test
Plot the specification curve against its per-specification null band	plot_sca_test_specs
Plots standard error estimates across types.	plot_se
Plot the variance decomposition of a specification curve	plot_variance
Plots the variables in each model.	plot_vars
Print a specification curve joint-inference test	print.sca_test
Perform specification curve analysis	sca
Family-wise-error-rate-adjusted p-values for each specification	sca_minp
Write a results paragraph for a specification curve analysis	sca_report
Render a specification curve result as a publication table	sca_table
Joint-inference test for a specification curve	sca_test
Tidy and glance methods for speccurvieR objects	as.data.frame.sca_test glance.sca glance.sca_test sca_tidiers tidy.sca tidy.sca_test
Decompose the variance of the specification curve by analytic choice	sca_variance
Compare different kinds of standard errors	se_compare
A clean, consistent ggplot2 theme for speccurvieR plots.	theme_sca