R: Easy, Fast, and Pretty Specification Curve Analysis

# Easy, Fast, and Pretty Specification Curve Analysis

## Documentation for package ‘speccurvieR’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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