rmomu_plot: sensitivity plot for estimates with regards to correlation...

In linqinyu/ConMed: Assess robustness of a causal mediation inference to the inclusion of an alternative mediator as a potential confounder

sensitivity plot for estimates with regards to correlation between Mo and Mu

Description

give the sensitivity plot for how the correlation between Mo and Mu affects the estimates and confidence interval

Usage

rmomu_plot(
  rxmo = -2,
  rxy = -2,
  rymo = -2,
  nobs = nobs,
  labelest = "a1b1",
  conflevel = 0.95,
  specifyunob = 0,
  rxmu = -2,
  rymu = -2
)

Arguments

rxmo	correlation between X and Mo
rxy	correlation between X and Y
rymo	correlation between Y and Mo
nobs	number of observations in the sample or sample size
labelest	label for which estimate the figure is for: a1b1, a1, b1 or c, default is a1b1
conflevel	confidence interval level, default is 0.95
specifyunob	whether the user wants to specify two unobserved correlations default is 0, meaning no
rxmu	correlation between X and Mu
rymu	correlation between Y and Mu

Value

plot for how rmomu affects the estimates and confidence interval

linqinyu/ConMed documentation built on March 20, 2023, 5:40 a.m.