bootci_coeff_2trt: Bootstrap function for computing CIs for coefficients for a...

In tvmediation: Time Varying Mediation Analysis

Bootstrap function for computing CIs for coefficients for a continuous outcome and two treatment groups

Description

Part of the set of internal functions for estimating bootstrapped CIs for the coefficients of the mediation model for continuous outcome and two treatment groups.

Usage

bootci_coeff_2trt(trt, t.seq, M, Y, t.est, deltat, replicates)

Arguments

trt	a vector indicating treatment group
t.seq	a vector of time points for each observation
M	matrix of mediator values in wide format
Y	matrix of outcome values in wide format
t.est	time points at which to make the estimation. Default = t.seq
deltat	a small constant which controls the time-lag of the effect of the mediator on the outcome.
replicates	number of replicates for bootstrapping confidence intervals. Default = 1000

Value

CI.upper.alpha	CI upper limit for coefficient hat.alpha
CI.lower.alpha	CI lower limit for coefficient hat.alpha
CI.upper.gamma	CI upper limit for coefficient hat.gamma
CI.lower.gamma	CI lower limit for coefficient hat.gamma
CI.upper.beta	CI upper limit for coefficient hat.beta
CI.lower.beta	CI lower limit for coefficient hat.beta
CI.upper.tau	CI upper limit for coefficient hat.tau
CI.lower.tau	CI lower limit for coefficient hat.tau

tvmediation documentation built on May 25, 2022, 9:05 a.m.