Quantify the Robustness of Causal Inferences

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Documentation for package ‘konfound’ version 1.0.2

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

Help Pages

binary_dummy_data	Binary dummy data
cal_delta_star	Calculate delta star for sensitivity analysis
cal_rxy	Calculate rxy based on ryxGz, rxz, and ryz
cal_rxz	Calculate R2xz based on variances and standard error
cal_ryz	Calculate R2yz based on ryxGz and R2
chisq_p	Perform a Chi-Square Test
concord1	Concord1 data
get_kr_df	Extract Degrees of Freedom for Fixed Effects in a Linear Mixed-Effects Model
konfound	Konfound Analysis for Various Model Types
konfound_glm	Konfound Analysis for Generalized Linear Models
konfound_glm_dichotomous	Konfound Analysis for Generalized Linear Models with Dichotomous Outcomes
konfound_lm	Konfound Analysis for Linear Models
konfound_lmer	Konfound Analysis for Linear Mixed-Effects Models
mkonfound	Meta-Analysis and Sensitivity Analysis for Multiple Studies
mkonfound_ex	Example data for the mkonfound function
output_df	Output data frame based on model estimates and thresholds
output_print	Output printed text with formatting
output_table	Output a Tidy Table from a Model Object
pkonfound	Perform sensitivity analysis for published studies
plot_correlation	Plot Correlation Diagram
plot_threshold	Plot Effect Threshold Diagram
tkonfound	Perform Sensitivity Analysis on 2x2 Tables
tkonfound_fig	Draw Figures for Change in Effect Size in 2x2 Tables
verify_reg_Gzcv	Verify regression model with control variable Z
verify_reg_uncond	Verify unconditional regression model
zzz	Package Initialization Functions and Utilities