Easy, Fast, and Pretty Specification Curve Analysis

Documentation for package ‘speccurvieR’ version 1.0.0

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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