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speccurvieR (version 0.4.2)

Easy, Fast, and Pretty Specification Curve Analysis

Description

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) .

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Install

install.packages('speccurvieR')

Monthly Downloads

167

Version

0.4.2

License

MIT + file LICENSE

Issues

1

Pull Requests

0

Stars

4

Forks

0

Maintainer

Zayne Sember

Last Published

October 9th, 2024

Functions in speccurvieR (0.4.2)

scp

Prepares the output of `sca()` for plotting.
se_compare

Compare different kinds of standard errors
plotVars

Plots the variables in each model.
unAsIs

Removes the `AsIs` class attribute from the input.
se_boot

Estimates bootstrapped standard errors for regression models
sca

Perform specification curve analysis
plotCurve

Plots a specification curve.
plotControlDistributions

Plots control variable distributions.
plotAIC

Plots the AIC across model specifications.
controlExtractor

Extracts the control variable names and coefficients from an lm model summary.
formula_builder

Builds models formulae with every combination of control variables possible.
duplicate_remover

Removes duplicate control variables
bottles

CalCOFI Bottle Data
plotDeviance

Plots the deviance of residuals across model specifications.
paste_factory

Paste together controls and independent variable
plotR2Adj

Plots the adj. R-squared across model specifications.
plotRMSE

Plots RMSE across model specifications.
speccurvieR-package

speccurvieR: Easy, Fast, and Pretty Specification Curve Analysis