| bootci_coeff_2trt {tvmediation} | R Documentation |
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 |