iPSEsv_t: General approach of causal mediation analysis for survival...

In AshTai/iPSEsv: General approach of causal mediation analysis for survival outcome under sequential mediators.

Description

Derive the true iPSEsv based on real parameters.

Usage

iPSEsv_t(mediators, alpha_Y, beta_Y, gamma_Y, delta_Y, alpha_M, beta_M, gamma_M,
  delta_M, sigma2_M, alpha_C, beta_C, gamma_C, delta_C, sigma2_C,
  C_hat = c(0.5), a1 = 1, a0 = 0)

Arguments

mediators	The name of mediators.
parameters	The real values of parameters

Value

A list of true iPSEsv and partPSEsv

Author(s)

An-Shun Tai [e-mail], Pei-Hsuan Lin [e-mail], and Sheng-Hsuan Lin [e-mail]

Examples

TrueV <- iPSEsv_t(mediators=c("x1","x2"),
alpha_Y=matrix(1,1,1),beta_Y=matrix(1),gamma_Y=matrix(c(0.5,0.6),1,2),
delta_Y=matrix(c(0.5,0.6),1,2),
alpha_M=matrix(1,2,2),beta_M=matrix(1,2,1),gamma_M=matrix(1,2,2),
delta_M=matrix(1,2,1),sigma2_M=matrix(1,2,1),
alpha_C=matrix(1,2,2),beta_C=matrix(1,2,1),gamma_C=matrix(1,2,2),
delta_C=matrix(1,2,1),sigma2_C=matrix(1,2,1),
C_hat = c(1,0.5),
a1=1,a0=0)

AshTai/iPSEsv documentation built on Oct. 30, 2019, 5:01 a.m.