Package index • konfound

Main

konfound(): Konfound Analysis for Various Model Types

pkonfound(): Perform sensitivity analysis for published studies

mkonfound(): Meta-Analysis and Sensitivity Analysis for Multiple Studies

Auxiliary

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_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_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

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