output_df: Output data frame based on model estimates and thresholds

In jrosen48/konfound: Quantify the Robustness of Causal Inferences

Output data frame based on model estimates and thresholds

Description

Output data frame based on model estimates and thresholds

Usage

output_df(
  est_eff,
  beta_threshhold,
  unstd_beta,
  bias = NULL,
  sustain = NULL,
  recase,
  obs_r,
  critical_r,
  r_con,
  itcv,
  non_linear
)

Arguments

est_eff	estimated effect
beta_threshhold	threshold for beta
unstd_beta	unstandardized beta value
bias	bias to change inference
sustain	sustain to change inference
recase	number of cases to replace null
obs_r	observed correlation
critical_r	critical correlation
r_con	correlation for omitted variable
itcv	inferential threshold for confounding variable
non_linear	flag for non-linear models

Value

data frame with model information

jrosen48/konfound documentation built on Nov. 21, 2024, 4:42 a.m.