rymu_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 Y and Mu

Description

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

Usage

rymu_plot(
  rxmo = -2,
  rxy = -2,
  rymo = -2,
  nobs = nobs,
  labelest = "a1b1",
  conflevel = 0.95,
  specifyunob = 0,
  rxmu = -2,
  rmomu = -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
rmomu	correlation between Mo 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.